The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Francisco Escolano: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Antonio Peñalver Benavent, Juan Manuel Sáez, Francisco Escolano
    An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    CIARP, 2003, pp:432-439 [Conf]
  2. Miguel Angel Lozano, Francisco Escolano
    Two New Scale-Adapted Texture Descriptors for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    CIARP, 2003, pp:137-144 [Conf]
  3. Miguel Angel Lozano, Francisco Escolano
    Regularization Kernels and Softassign. [Citation Graph (0, 0)][DBLP]
    CIARP, 2004, pp:320-327 [Conf]
  4. Juan Manuel Sáez, Antonio Peñalver Benavent, Francisco Escolano
    Compact Mapping in Plane-Parallel Environments Using Stereo Vision. [Citation Graph (0, 0)][DBLP]
    CIARP, 2003, pp:659-666 [Conf]
  5. Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo
    Bayesian Models for Finding and Grouping Junctions. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 1999, pp:70-82 [Conf]
  6. Miguel Angel Lozano, Francisco Escolano
    EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2003, pp:52-67 [Conf]
  7. Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo
    Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 1997, pp:521-534 [Conf]
  8. Miguel Angel Lozano, Francisco Escolano
    ACM Attributed Graph Clustering for Learning Classes of Images. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2003, pp:247-258 [Conf]
  9. Miguel Angel Lozano, Francisco Escolano
    Protein Classification with Kernelized Softassign. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2005, pp:332-341 [Conf]
  10. Miguel Angel Lozano, Francisco Escolano
    Local Entropic Graphs for Globally-Consistent Graph Matching. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2005, pp:342-351 [Conf]
  11. Miguel Angel Lozano, Francisco Escolano
    Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:933-942 [Conf]
  12. Miguel Angel Lozano, Francisco Escolano
    Structural Recognition with Kernelized Softassign. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2004, pp:626-635 [Conf]
  13. Juan Manuel Sáez, Francisco Escolano
    Monte Carlo Localization in 3D Maps Using Stereo Vision. [Citation Graph (0, 0)][DBLP]
    IBERAMIA, 2002, pp:913-922 [Conf]
  14. Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
    Color Image Segmentation Through Unsupervised Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2006, pp:149-158 [Conf]
  15. Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Faraón Llorens, Rosana Satorre, Ramón Rizo
    A Combined Probabilistic Framework for Learning Gestures and Actions. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 2), 1998, pp:658-667 [Conf]
  16. Miguel Angel Lozano, Francisco Escolano
    A Significant Improvement of Softassign with Diffusion Kernels. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:76-84 [Conf]
  17. Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez
    Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:649-657 [Conf]
  18. Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo
    Junction detection and grouping with probabilistic edge models and Bayesian A. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:9, pp:1869-1881 [Journal]
  19. Miguel Angel Lozano, Francisco Escolano
    Protein classification by matching and clustering surface graphs. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:4, pp:539-551 [Journal]
  20. Miguel Cazorla, Francisco Escolano
    Two Bayesian methods for junction classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:3, pp:317-327 [Journal]
  21. Wendy Aguilar, M. Elena Martínez-Pérez, Yann Frauel, Francisco Escolano, Miguel Angel Lozano, Arturo Espinosa-Romero
    Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2007, pp:25-36 [Conf]
  22. Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar
    Constellations and the Unsupervised Learning of Graphs. [Citation Graph (0, 0)][DBLP]
    GbRPR, 2007, pp:340-350 [Conf]
  23. Pablo Suau, Francisco Escolano
    Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:146-153 [Conf]
  24. Boyan Bonev, Francisco Escolano, Miguel Cazorla
    A Novel Information Theory Method for Filter Feature Selection. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:431-440 [Conf]

  25. A New Feasible Approach to Multi-dimensional Scale Saliency. [Citation Graph (, )][DBLP]


  26. Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. [Citation Graph (, )][DBLP]


  27. Birkhoff polytopes, heat kernels and graph complexity. [Citation Graph (, )][DBLP]


  28. Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs. [Citation Graph (, )][DBLP]


  29. Kernelization of Softassign and Motzkin-Strauss Algorithms. [Citation Graph (, )][DBLP]


  30. Polytopal Graph Complexity, Matrix Permanents, and Embedding. [Citation Graph (, )][DBLP]


  31. Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures. [Citation Graph (, )][DBLP]


  32. High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs. [Citation Graph (, )][DBLP]


  33. Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization. [Citation Graph (, )][DBLP]


  34. What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. [Citation Graph (, )][DBLP]


  35. Ceiling mosaics through information-based SLAM. [Citation Graph (, )][DBLP]


  36. Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. [Citation Graph (, )][DBLP]


Search in 0.067secs, Finished in 0.069secs
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