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## Search the dblp DataBase
Sethu Vijayakumar:
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## Publications of Author- Graham McNeill, Sethu Vijayakumar
**Hierarchical Procrustes Matching for Shape Retrieval.**[Citation Graph (0, 0)][DBLP] CVPR (1), 2006, pp:885-894 [Conf] - Jan Peters, Sethu Vijayakumar, Stefan Schaal
**Natural Actor-Critic.**[Citation Graph (0, 0)][DBLP] ECML, 2005, pp:280-291 [Conf] - Georgios Petkos, Marc Toussaint, Sethu Vijayakumar
**Learning Multiple Models of Non-linear Dynamics for Control Under Varying Contexts.**[Citation Graph (0, 0)][DBLP] ICANN (1), 2006, pp:898-907 [Conf] - Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal
**On-line Learning for Humanoid Robot Systems.**[Citation Graph (0, 0)][DBLP] ICML, 2000, pp:191-198 [Conf] - Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
**The Bayesian backfitting relevance vector machine.**[Citation Graph (0, 0)][DBLP] ICML, 2004, pp:- [Conf] - Marc Toussaint, Sethu Vijayakumar
**Learning discontinuities with products-of-sigmoids for switching between local models.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:904-911 [Conf] - Sethu Vijayakumar, Stefan Schaal
**Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space.**[Citation Graph (0, 0)][DBLP] ICML, 2000, pp:1079-1086 [Conf] - Graham McNeill, Sethu Vijayakumar
**Part-Based Probabilistic Point Matching.**[Citation Graph (0, 0)][DBLP] ICPR (2), 2006, pp:382-386 [Conf] - Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
**Real-Time Robot Learning with Locally Weighted Statistical Learning.**[Citation Graph (0, 0)][DBLP] ICRA, 2000, pp:288-293 [Conf] - Sethu Vijayakumar, Stefan Schaal
**Fast and Efficient Incremental Learning for High-Dimensional Movement Systems.**[Citation Graph (0, 0)][DBLP] ICRA, 2000, pp:1894-1899 [Conf] - Sethu Vijayakumar, S. Wu
**Sequential Support Vector Classifiers and Regression.**[Citation Graph (0, 0)][DBLP] IIA/SOCO, 1999, pp:- [Conf] - Graham McNeill, Sethu Vijayakumar
**2D Shape Classification and Retrieval.**[Citation Graph (0, 0)][DBLP] IJCAI, 2005, pp:1483-1488 [Conf] - Marc Toussaint, Sethu Vijayakumar
**Learning discontinuities for switching between local models.**[Citation Graph (0, 0)][DBLP] IJCAI, 2005, pp:1744-1745 [Conf] - Timothy M. Hospedales, Joel J. Cartwright, Sethu Vijayakumar
**Structure Inference for Bayesian Multisensory Perception and Tracking.**[Citation Graph (0, 0)][DBLP] IJCAI, 2007, pp:2122-2128 [Conf] - Narayanan U. Edakunni, Stefan Schaal, Sethu Vijayakumar
**Kernel Carpentry for Online Regression Using Randomly Varying Coefficient Model.**[Citation Graph (0, 0)][DBLP] IJCAI, 2007, pp:762-767 [Conf] - Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson
**Local Dimensionality Reduction.**[Citation Graph (0, 0)][DBLP] NIPS, 1997, pp:- [Conf] - Stefan Schaal, Christopher G. Atkeson, Sethu Vijayakumar
**Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning.**[Citation Graph (0, 0)][DBLP] Appl. Intell., 2002, v:17, n:1, pp:49-60 [Journal] - Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal
**Statistical Learning for Humanoid Robots.**[Citation Graph (0, 0)][DBLP] Auton. Robots, 2002, v:12, n:1, pp:55-69 [Journal] - Christopher G. Atkeson, Joshua G. Hale, Frank E. Pollick, Marcia Riley, Shinya Kotosaka, Stefan Schaal, Tomohiro Shibata, Gaurav Tevatia, Ales Ude, Sethu Vijayakumar, Mitsuo Kawato
**Using Humanoid Robots to Study Human Behavior.**[Citation Graph (0, 0)][DBLP] IEEE Intelligent Systems, 2000, v:15, n:4, pp:46-56 [Journal] - Sethu Vijayakumar, Hidemitsu Ogawa
**RKHS-based functional analysis for exact incremental learning.**[Citation Graph (0, 0)][DBLP] Neurocomputing, 1999, v:29, n:1-3, pp:85-113 [Journal] - Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal
**Incremental Online Learning in High Dimensions.**[Citation Graph (0, 0)][DBLP] Neural Computation, 2005, v:17, n:12, pp:2602-2634 [Journal] - Sethu Vijayakumar, Stefan Schaal
**Local Adaptive Subspace Regression.**[Citation Graph (0, 0)][DBLP] Neural Processing Letters, 1998, v:7, n:3, pp:139-149 [Journal] - Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, Sethu Vijayakumar
**Sensor-assisted adaptive motor control under continuously varying context.**[Citation Graph (0, 0)][DBLP] ICINCO-ICSO, 2007, pp:262-269 [Conf] - Graham McNeill, Sethu Vijayakumar
**A Probabilistic Approach to Robust Shape Matching.**[Citation Graph (0, 0)][DBLP] ICIP, 2006, pp:937-940 [Conf] - Graham McNeill, Sethu Vijayakumar
**Linear and nonlinear generative probabilistic class models for shape contours.**[Citation Graph (0, 0)][DBLP] ICML, 2007, pp:617-624 [Conf] - Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar
**Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.**[Citation Graph (0, 0)][DBLP] ICRA, 2007, pp:1733-1740 [Conf] - Georgios Petkos, Sethu Vijayakumar
**Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts.**[Citation Graph (0, 0)][DBLP] ICRA, 2007, pp:2117-2123 [Conf] - Graham McNeill, Sethu Vijayakumar
**Part-based Probabilistic Point Matching using Equivalence Constraints.**[Citation Graph (0, 0)][DBLP] NIPS, 2006, pp:969-976 [Conf] **Optimal Control with Adaptive Internal Dynamics Models.**[Citation Graph (, )][DBLP]**A Bayesian approach to empirical local linearization for robotics.**[Citation Graph (, )][DBLP]**A novel method for learning policies from constrained motion.**[Citation Graph (, )][DBLP]**Optimal Feedback Control for anthropomorphic manipulators.**[Citation Graph (, )][DBLP]**Efficient Online Classification Using an Ensemble of Bayesian Linear Logistic Regressors.**[Citation Graph (, )][DBLP]**Bayesian Kernel Shaping for Learning Control.**[Citation Graph (, )][DBLP]**Multi-task Gaussian Process Learning of Robot Inverse Dynamics.**[Citation Graph (, )][DBLP]**Unifying the Sensory and Motor Components of Sensorimotor Adaptation.**[Citation Graph (, )][DBLP]**Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies.**[Citation Graph (, )][DBLP]**Adaptive Optimal Control for Redundantly Actuated Arms.**[Citation Graph (, )][DBLP]**Load estimation and control using learned dynamics models.**[Citation Graph (, )][DBLP]**Robust constraint-consistent learning.**[Citation Graph (, )][DBLP]**Towards Semi-supervised Manifold Learning: UKR with Structural Hints.**[Citation Graph (, )][DBLP]**Learning Utility Surfaces for Movement Selection.**[Citation Graph (, )][DBLP]**Geodesic Gaussian kernels for value function approximation.**[Citation Graph (, )][DBLP]**A novel method for learning policies from variable constraint data.**[Citation Graph (, )][DBLP]**Implications of different classes of sensorimotor disturbance for cerebellar-based motor learning models.**[Citation Graph (, )][DBLP]
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