The SCEAS System
Navigation Menu

Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2005 (conf/nips/2005)

  1. Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, R. Paz-Vicente, F. Gomez-Rodriguez, Håvard Kolle Riis, Tobi Delbrück, Shih-Chii Liu, S. Zahnd, Adrian M. Whatley, Rodney J. Douglas, Philipp Häfliger, Gabriel Jiménez-Moreno, Antón Civit, Teresa Serrano-Gotarredona, A. Acosta-Jimenez, Bernabé Linares-Barranco
    AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  2. Xiaofeng Ren, Charless Fowlkes, Jitendra Malik
    Cue Integration for Figure/Ground Labeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  3. Pradeep D. Ravikumar, John Lafferty
    Preconditioner Approximations for Probabilistic Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  4. Maxim Raginsky, Svetlana Lazebnik
    Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  5. Doina Precup, Richard S. Sutton, Cosmin Paduraru, Anna Koop, Satinder P. Singh
    Off-policy Learning with Options and Recognizers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  6. Brian Potetz, Tai Sing Lee
    Scaling Laws in Natural Scenes and the Inference of 3D Shape. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  7. Jean-Pascal Pfister, Wulfram Gerstner
    Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  8. Ofer Pasternak, Nir A. Sochen, Nathan Intrator, Yaniv Assaf
    Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  9. Liam Paninski
    Nonparametric inference of prior probabilities from Bayes-optimal behavior. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  10. Jason A. Palmer, David P. Wipf, Kenneth Kreutz-Delgado, Bhaskar D. Rao
    Variational EM Algorithms for Non-Gaussian Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  11. Matthias Oster, Shih-Chii Liu
    Spiking Inputs to a Winner-take-all Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  12. Benjamin Van Roy
    TD(0) Leads to Better Policies than Approximate Value Iteration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  13. Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri
    Generalization to Unseen Cases. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  14. Purnamrita Sarkar, Andrew W. Moore
    Dynamic Social Network Analysis using Latent Space Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  15. Clayton Scott, Robert D. Nowak
    Learning Minimum Volume Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  16. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
    A Bayesian Framework for Tilt Perception and Confidence. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  17. Brad Schumitsch, Sebastian Thrun, Gary R. Bradski, Kunle Olukotun
    The Information-Form Data Association Filter. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  18. Nicol N. Schraudolph, Douglas Aberdeen, Jin Yu
    Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  19. Michael Schmitt, Laura Martignon
    On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal?. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  20. André van Schaik, Richard Reeve, Craig T. Jin, Tara Julia Hamilton
    An aVLSI Cricket Ear Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  21. Rory Sayres, David Ress, Kalanit Grill Spector
    Identifying Distributed Object Representations in Human Extrastriate Visual Cortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  22. Ashutosh Saxena, Sung H. Chung, Andrew Y. Ng
    Learning Depth from Single Monocular Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  23. Michele Rucci
    Visual Encoding with Jittering Eyes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  24. Eric Saund
    Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  25. Guido Nolte, Andreas Ziehe, Frank C. Meinecke, Klaus-Robert Müller
    Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  26. Yael Niv, Nathaniel D. Daw, Peter Dayan
    How fast to work: Response vigor, motivation and tonic dopamine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  27. Gergo Orbán, József Fiser, Richard N. Aslin, Máté Lengyel
    Bayesian model learning in human visual perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  28. Michael Mozer, Michael Shettel, Shaun Vecera
    Top-Down Control of Visual Attention: A Rational Account. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  29. Edward Meeds, Simon Osindero
    An Alternative Infinite Mixture Of Gaussian Process Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  30. Peter McCracken, Michael H. Bowling
    Online Discovery and Learning of Predictive State Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  31. Samuel McClure, Mark S. Gilzenrat, Jonathan D. Cohen
    An exploration-exploitation model based on norepinepherine and dopamine activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  32. Baback Moghaddam, Yair Weiss, Shai Avidan
    Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  33. Daichi Mochihashi, Yuji Matsumoto
    Context as Filtering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  34. Ciamac Cyrus Moallemi, Benjamin Van Roy
    Consensus Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  35. Hongjing Lu, Alan L. Yuille
    Ideal Observers for Detecting Motion: Correspondence Noise. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  36. Naoki Masuda, Shun-ichi Amari
    Modeling Memory Transfer and Saving in Cerebellar Motor Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  37. Aurelie C. Lozano, Sanjeev Kulkarni, Robert E. Schapire
    Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  38. Keiji Miura, Masato Okada, Shun-ichi Amari
    Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  39. Tatsuto Murayama, Peter Davis
    Rate Distortion Codes in Sensor Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  40. Juan José Murillo-Fuentes, Sebatian Caro, Fernando Pérez-Cruz
    Gaussian Processes for Multiuser Detection in CDMA receivers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  41. XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan
    Divergences, surrogate loss functions and experimental design. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  42. Manfred Opper
    An Approximate Inference Approach for the PCA Reconstruction Error. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  43. Daniel B. Neill, Andrew W. Moore, Gregory F. Cooper
    A Bayesian Spatial Scan Statistic. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  44. Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia
    Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  45. Vidhya Navalpakkam, Laurent Itti
    Optimal cue selection strategy. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  46. Mukund Narasimhan, Nebojsa Jojic, Jeff Bilmes
    Q-Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  47. Yusuke Nakashita, Yoshio Mita, Tadashi Shibata
    An Analog Visual Pre-Processing Processor. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  48. Srikantan S. Nagarajan, Hagai Attias, Kenneth E. Hild II, Kensuke Sekihara
    Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  49. Boaz Nadler, Stephane Lafon, Ronald R. Coifman, Ioannis G. Kevrekidis
    Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  50. Iain Murray, David MacKay, Zoubin Ghahramani, John Skilling
    Nested sampling for Potts models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  51. Nicolas Loeff, Himanshu Arora, Alexander Sorokin, David A. Forsyth
    Efficient Unsupervised Learning for Localization and Detection in Object Categories. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  52. Jorge Silva, Jorge S. Marques, João Miranda Lemos
    Selecting Landmark Points for Sparse Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  53. Laurent Zwald, Gilles Blanchard
    On the Convergence of Eigenspaces in Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  54. Frank Wood, Stefan Roth, Michael J. Black
    Modeling Neural Population Spiking Activity with Gibbs Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  55. K. Y. Michael Wong, David Saad, Zhuo Gao
    Message passing for task redistribution on sparse graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  56. David P. Wipf, Bhaskar D. Rao
    Comparing the Effects of Different Weight Distributions on Finding Sparse Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  57. Christopher K. I. Williams, John A. Quinn, Neil McIntosh
    Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  58. Jim Wielaard, Paul Sajda
    Neural mechanisms of contrast dependent receptive field size in V1. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  59. Bo Wen, Kwabena Boahen
    Active Bidirectional Coupling in a Cochlear Chip. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  60. Gabriel Y. Weintraub, C. Lanier Benkard, Benjamin Van Roy
    Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  61. Inna Weiner, Tomer Hertz, Israel Nelken, Daphna Weinshall
    Analyzing Auditory Neurons by Learning Distance Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  62. Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul
    Distance Metric Learning for Large Margin Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  63. Kazuho Watanabe, Sumio Watanabe
    Variational Bayesian Stochastic Complexity of Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  64. Byron Yu, Afsheen Afshar, Gopal Santhanam, Stephen I. Ryu, Krishna Shenoy, Maneesh Sahani
    Extracting Dynamical Structure Embedded in Neural Activity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  65. Shipeng Yu, Kai Yu, Volker Tresp
    Soft Clustering on Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  66. Alan L. Yuille
    Augmented Rescorla-Wagner and Maximum Likelihood Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  67. Martin Zinkevich, Amy R. Greenwald, Michael L. Littman
    Cyclic Equilibria in Markov Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  68. Long Zhu, Alan L. Yuille
    A Hierarchical Compositional System for Rapid Object Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  69. Zhenyue Zhang, Hongyuan Zha
    A Domain Decomposition Method for Fast Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  70. Yungang Zhang, Changshui Zhang
    Separation of Music Signals by Harmonic Structure Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  71. Wei Zhang 0002, Hyejin Yang, Dimitris Samaras, Gregory J. Zelinsky
    A Computational Model of Eye Movements during Object Class Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  72. Lei Zhang 0002, Dimitris Samaras, Nelly Alia-Klein, Nora Volkow, Rita Goldstein
    Modeling Neuronal Interactivity using Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  73. Jian Zhang, Zoubin Ghahramani, Yiming Yang
    Learning Multiple Related Tasks using Latent Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  74. Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Deb Roy
    Learning Influence among Interacting Markov Chains. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  75. Tong Zhang, Rie Ando
    Analysis of Spectral Kernel Design based Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  76. Gregory J. Zelinsky, Wei Zhang 0002, Bing Yu, Xin Chen, Dimitris Samaras
    The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  77. Manfred K. Warmuth
    A Bayes Rule for Density Matrices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  78. Xuerui Wang, Natasha Mohanty, Andrew McCallum
    Group and Topic Discovery from Relations and Their Attributes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  79. Jack M. Wang, David J. Fleet, Aaron Hertzmann
    Gaussian Process Dynamical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  80. Richard S. Sutton, Eddie J. Rafols, Anna Koop
    Temporal Abstraction in Temporal-difference Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  81. Masashi Sugiyama
    Active Learning for Misspecified Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  82. Erik B. Sudderth, Antonio B. Torralba, William T. Freeman, Alan S. Willsky
    Describing Visual Scenes using Transformed Dirichlet Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  83. Alan Stocker, Eero P. Simoncelli
    Sensory Adaptation within a Bayesian Framework for Perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  84. Mark Steyvers, Scott Brown
    Prediction and Change Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  85. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
    A General and Efficient Multiple Kernel Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  86. Le Song, Evian Gordon, Elly Gysels
    Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  87. Edward Snelson, Zoubin Ghahramani
    Sparse Gaussian Processes using Pseudo-inputs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  88. Cristian Sminchisescu, Atul Kanaujia, Zhiguo Li, Dimitris N. Metaxas
    Conditional Visual Tracking in Kernel Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  89. Yirong Shen, Andrew Y. Ng, Matthias Seeger
    Fast Gaussian Process Regression using KD-Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  90. Jun Suzuki, Hideki Isozaki
    Sequence and Tree Kernels with Statistical Feature Mining. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  91. Brian Taba, Kwabena Boahen
    Silicon growth cones map silicon retina. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  92. Minija Tamosiunaite, Bernd Porr, Florentin Wörgötter
    Temporally changing synaptic plasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  93. Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron, Richard G. Baraniuk
    Recovery of Jointly Sparse Signals from Few Random Projections. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  94. Martin J. Wainwright
    Estimating the wrong Markov random field: Benefits in the computation-limited setting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  95. Paul A. Viola, John Platt, Cha Zhang
    Multiple Instance Boosting for Object Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  96. Régis Vert, Jean-Philippe Vert
    Consistency of one-class SVM and related algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  97. Jean-Philippe Vert, Robert Thurman, William Stafford Noble
    Kernels for gene regulatory regions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  98. Deepak Verma, Rajesh P. N. Rao
    Goal-Based Imitation as Probabilistic Inference over Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  99. Nicolas Usunier, Massih-Reza Amini, Patrick Gallinari
    Generalization error bounds for classifiers trained with interdependent data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  100. Jo-Anne Ting, Aaron D'Souza, Kenji Yamamoto, Toshinori Yoshioka, Donna L. Hoffman, Lauren Sergio, Shinji Kakei, John Kalaska, Mitsuo Kawato, Peter Strick, Stefan Schaal
    Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  101. Sebastian Thrun
    Affine Structure From Sound. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  102. Benjamin Taskar, Simon Lacoste-Julien, Michael I. Jordan
    Structured Prediction via the Extragradient Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  103. Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao
    Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  104. Uri Maoz, Elon Portugaly, Tamar Flash, Yair Weiss
    Noise and the two-thirds power Law. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  105. Artur S. d'Avila Garcez, Luís C. Lamb, Dov M. Gabbay
    A Connectionist Model for Constructive Modal Reasoning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  106. James Diebel, Sebastian Thrun
    An Application of Markov Random Fields to Range Sensing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  107. Inderjit S. Dhillon, Suvrit Sra
    Generalized Nonnegative Matrix Approximations with Bregman Divergences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  108. Ricky Der, Daniel Lee
    Beyond Gaussian Processes: On the Distributions of Infinite Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  109. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  110. Ofer Dekel, Yoram Singer
    Data-Driven Online to Batch Conversions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  111. Peter Dayan, Angela J. Yu
    Norepinephrine and Neural Interrupts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  112. Sanjoy Dasgupta
    Coarse sample complexity bounds for active learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  113. Márton Danóczy, Richard H. R. Hahnloser
    Efficient estimation of hidden state dynamics from spike trains. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  114. Koby Crammer, Michael S. Kearns, Jennifer Wortman
    Learning from Data of Variable Quality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  115. Yixin Chen, Ya Zhang, Xiang Ji
    Size Regularized Cut for Data Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  116. Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki
    A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  117. Guido Dornhege, Benjamin Blankertz, Matthias Krauledat, Florian Losch, Gabriel Curio, Klaus-Robert Müller
    Optimizing spatio-temporal filters for improving Brain-Computer Interfacing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  118. Miroslav Dudík, Robert E. Schapire, Steven J. Phillips
    Correcting sample selection bias in maximum entropy density estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  119. Glenn Fung, Rómer Rosales, Balaji Krishnapuram
    Learning Rankings via Convex Hull Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  120. Kenji Fukumizu, Francis R. Bach, Arthur Gretton
    Statistical Convergence of Kernel CCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  121. Brendan J. Frey, Delbert Dueck
    Mixture Modeling by Affinity Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  122. Nando de Freitas, Yang Wang, Maryam Mahdaviani, Dustin Lang
    Fast Krylov Methods for N-Body Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  123. François Fleuret, Gilles Blanchard
    Pattern Recognition from One Example by Chopping. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  124. Patrick Flaherty, Michael I. Jordan, Adam P. Arkin
    Robust design of biological experiments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  125. Jason D. R. Farquhar, David R. Hardoon, Hongying Meng, John Shawe-Taylor, Sándor Szedmák
    Two view learning: SVM-2K, Theory and Practice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  126. Yaakov Engel, Peter Szabó, Dmitry Volkinshtein
    Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  127. Austin I. Eliazar, Ronald Parr
    Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  128. Jaety Edwards, David A. Forsyth
    Searching for Character Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  129. Antoni B. Chan, Nuno Vasconcelos
    Layered Dynamic Textures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  130. Nicolò Cesa-Bianchi, Claudio Gentile
    Improved risk tail bounds for on-line algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  131. Abdullah Celik, Milutin Stanacevic, Gert Cauwenberghs
    Gradient Flow Independent Component Analysis in Micropower VLSI. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  132. Yasemin Altun, David A. McAllester, Mikhail Belkin
    Margin Semi-Supervised Learning for Structured Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  133. Chuong Do, Andrew Y. Ng
    Transfer learning for text classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  134. Brigham Anderson, Andrew W. Moore
    Fast Information Value for Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  135. Michaël Aupetit
    Learning Topology with the Generative Gaussian Graph and the EM Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  136. Misha Ahrens, Quentin Huys, Liam Paninski
    Large-scale biophysical parameter estimation in single neurons via constrained linear regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  137. Felix V. Agakov, David Barber
    Kernelized Infomax Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  138. Douglas Aberdeen
    Policy-Gradient Methods for Planning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  139. John V. Arthur, Kwabena Boahen
    Learning in Silicon: Timing is Everything. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  140. Andreas Argyriou, Mark Herbster, Massimiliano Pontil
    Combining Graph Laplacians for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  141. Pieter Abbeel, Varun Ganapathi, Andrew Y. Ng
    Learning vehicular dynamics, with application to modeling helicopters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  142. J. Ignacio Alvarez-Hamelin, Luca Dall'Asta, Alain Barrat, Alessandro Vespignani
    Large scale networks fingerprinting and visualization using the k-core decomposition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  143. Drew Bagnell, Andrew Y. Ng
    On Local Rewards and Scaling Distributed Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  144. David Arathorn
    A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  145. Rui Castro, Rebecca Willett, Robert Nowak
    Faster Rates in Regression via Active Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  146. Razvan C. Bunescu, Raymond J. Mooney
    Subsequence Kernels for Relation Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  147. Brent Bryan, Jeff G. Schneider, Robert Nichol, Christopher Miller, Christopher Genovese, Larry Wasserman
    Active Learning For Identifying Function Threshold Boundaries. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  148. Neil D. B. Bruce, John K. Tsotsos
    Saliency Based on Information Maximization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  149. Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
    The Curse of Highly Variable Functions for Local Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  150. David M. Blei, John D. Lafferty
    Correlated Topic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  151. Doron Blatt, Alfred O. Hero
    From Weighted Classification to Policy Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  152. Gilles Blanchard, Masashi Sugiyama, Motoaki Kawanabe, Vladimir Spokoiny, Klaus-Robert Müller
    Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  153. Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte
    Convex Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  154. Yoshua Bengio, Hugo Larochelle, Pascal Vincent
    Non-Local Manifold Parzen Windows. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  155. Chris Baker, Joshua B. Tenenbaum, Rebecca Saxe
    Bayesian models of human action understanding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  156. Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan
    Large-Scale Multiclass Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  157. Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
    Principles of real-time computing with feedback applied to cortical microcircuit models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  158. John D. Lafferty, Larry A. Wasserman
    Rodeo: Sparse Nonparametric Regression in High Dimensions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  159. Malte Kuss, Carl Edward Rasmussen
    Assessing Approximations for Gaussian Process Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  160. Jeremy Kubica, Joseph Masiero, Andrew W. Moore, Robert Jedicke, Andrew Connolly
    Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  161. Eyal Krupka, Naftali Tishby
    Generalization in Clustering with Unobserved Features. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  162. O. Patrick Kreidl, Alan S. Willsky
    Inference with Minimal Communication: a Decision-Theoretic Variational Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  163. Kristina Klinkner, Cosma Rohilla Shalizi, Marcelo Camperi
    Measuring Shared Information and Coordinated Activity in Neuronal Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  164. Ashish Kapoor, Yuan (Alan) Qi, Hyungil Ahn, Rosalind W. Picard
    Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  165. Seung-Jean Kim, Alessandro Magnani, Stephen P. Boyd
    Robust Fisher Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  166. Sham M. Kakade, Matthias Seeger, Dean P. Foster
    Worst-Case Bounds for Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  167. Sham M. Kakade, Adam Kalai
    From Batch to Transductive Online Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  168. Kevin Lang
    Fixing two weaknesses of the Spectral Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  169. Tilman Lange, Joachim M. Buhmann
    Fusion of Similarity Data in Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  170. François Laviolette, Mario Marchand, Mohak Shah
    A PAC-Bayes approach to the Set Covering Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  171. Ross A. Lippert, Ryan M. Rifkin
    Asymptotics of Gaussian Regularized Least Squares. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  172. Sridhar Mahadevan, Mauro Maggioni
    Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  173. Lin Liao, Dieter Fox, Henry A. Kautz
    Location-based activity recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  174. Xuejun Liao, Lawrence Carin
    Radial Basis Function Network for Multi-task Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  175. Fan Li, Yiming Yang, Eric Xing
    From Lasso regression to Feature vector machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  176. Anna Levina, J. Michael Herrmann, Theo Geisel
    Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  177. Robert A. Legenstein, Wolfgang Maass
    A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  178. Jung Hoon Lee, Xiaolong Ma, Konstantin Likharev
    CMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  179. Dongryeol Lee, Alexander G. Gray, Andrew W. Moore
    Dual-Tree Fast Gauss Transforms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  180. Yann LeCun, Urs Muller, Jan Ben, Eric Cosatto, Beat Flepp
    Off-Road Obstacle Avoidance through End-to-End Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  181. Mikaela Keller, Samy Bengio, Siew Yeung Wong
    Benchmarking Non-Parametric Statistical Tests. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  182. S. Sathiya Keerthi, Wei Chu
    A matching pursuit approach to sparse Gaussian process regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  183. Anatoli Juditsky, Alexander V. Nazin, Alexandre B. Tsybakov, Nicolas Vayatis
    Generalization Error Bounds for Aggregation by Mirror Descent with Averaging. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  184. Xiaofei He, Deng Cai, Partha Niyogi
    Laplacian Score for Feature Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  185. Firas Hamze, Nando de Freitas
    Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  186. Lacey Gunter, Ji Zhu
    Computing the Solution Path for the Regularized Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  187. Tom Griffiths, Zoubin Ghahramani
    Infinite latent feature models and the Indian buffet process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  188. Yves Grandvalet, Johnny Mariéthoz, Samy Bengio
    A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  189. Sharon Goldwater, Tom Griffiths, Mark Johnson
    Interpolating between types and tokens by estimating power-law generators. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  190. Amir Globerson, Sam T. Roweis
    Metric Learning by Collapsing Classes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  191. Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
    Query by Committee Made Real. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  192. Zoubin Ghahramani, Katherine A. Heller
    Bayesian Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  193. Tao Geng, Bernd Porr, Florentin Wörgötter
    Fast biped walking with a reflexive controller and real-time policy searching. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  194. Xiaofei He, Deng Cai, Partha Niyogi
    Tensor Subspace Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  195. Geoff Hinton, Vinod Nair
    Inferring Motor Programs from Images of Handwritten Digits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  196. Yunsong Huang, B. Keith Jenkins
    Non-iterative Estimation with Perturbed Gaussian Markov Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  197. Renaud Jolivet, Alexander Rauch, Hans-Rudolf Lüscher, Wulfram Gerstner
    Integrate-and-Fire models with adaptation are good enough. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  198. Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
    Using epitomes to model genetic diversity: Rational design of HIV vaccines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  199. Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
    Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  200. Rong Jin, Chris H. Q. Ding, Feng Kang
    A Probabilistic Approach for Optimizing Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  201. Yan Karklin, Michael S. Lewicki
    Is Early Vision Optimized for Extracting Higher-order Dependencies? [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  202. Viren Jain, Valentin P. Zhigulin, H. Sebastian Seung
    Representing Part-Whole Relationships in Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  203. Herbert Jaeger, Mingjie Zhao, Andreas Kolling
    Efficient Estimation of OOMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  204. Laurent Itti, Pierre Baldi
    Bayesian Surprise Attracts Human Attention. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  205. Jarmo Hurri
    Learning Cue-Invariant Visual Responses. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  206. Wentao Huang, Licheng Jiao, Tan Shan, Maoguo Gong
    Response Analysis of Neuronal Population with Synaptic Depression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  207. Peter V. Gehler, Max Welling
    Products of Edge-perts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002