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Papers


 Topics
  Computer Vision    Pattern Recognition   Graphs     Information Theory   Robotics

 DLPB - Francisco Escolano

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 Journals (JCR)
 
     J.M. Sáez, F. Escolano. Entropy Minimization SLAM for Autonomous Vehicles and Wearable Devices.
Computer Vision and Image Understanding (2010) In Press doi:10.1016/j.cviu.2010.10.004 
     A. Peñalver, F. Escolano, J.M. Sáez. Learning Gaussian Mixture Models with Entropy Based Criteria.
IEEE Transactions on Neural Networks 20(11) 1756-1771 (2009)
   M.A. Lozano, F. Escolano, B. Bonev, P.Suau, W. Aguilar, J.M. Saez, M.A. Cazorla,
Region and Constellations Based Categorization of Images with Unsupervised Graph Learning,
 Image and Vision Computing. doi: 10.1016/j.imavis.2008.09.011. (2008)
   W. Aguilar, Y. Frauel, F. Escolano, M.E. Martínez Pérez, A. Espinosa-Romero and M.A. Lozano,
A Robust Graph Transformation Matching for Non-rigid Registration.
Image and Vision Computing
doi: 10.1016/j.imavis.2008.05.004 (2008)
   P. Suau, F. Escolano. Bayesian Optimization of the Scale Saliency Filter,
Image and Vision Computing, 26(9), pp. 1207-1218 (2008)
   B. Bonev, F. Escolano, M.A. Cazorla. Feature Selection, Mutual Information and the Classification of High Dimensional Patterns.
Pattern Analysis and Applications 11(3-4) pp. 1433-7541 (2008)
   M.A. Lozano, F. Escolano. Protein Classification by Matching and Clustering Surface Graphs.
Pattern Recognition 39(4),pp. 539-551 (2006)
  M.A. Cazorla, F. Escolano: Two Bayesian methods for junction classification.
IEEE Transactions on Image Processing 12(3) pp. 317-327 (2003)
  M.A. Cazorla, F. Escolano, D. Gallardo, R. Rizo. Junction Detection and Grouping with Probabilistic Edge Models and Bayesian A*.
Pattern Recognition 35(9), pp. 1869-1881 (2002)

 

Conference Papers

 


 F. Escolano, E.R. Hancock, M.A. Lozano. Birkhoff Polytopes, Heat Kernels, and Graph Complexity . ICPR  Tampa FL (2008)


F. Escolano, E. R. Hancock, M.A. Lozano: Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR: 237-246, Orlando FL (2008)
   J.M. Sáez, F. Escolano. Stereo-based Aerial Obstacle Detection for the Visually Impaired. ECCV Workshop: CVAVI, Marseille, France (2008)
   W.Aguilar, M.E. Martínez-Pérez, Y. Frauel, F. Escolano, M.A. Lozano, A. Espinosa-Romero: Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. GbRPR: 25-36, Alicante Spain (2007)
   B. Bonev, F. Escolano, M.A. Lozano, P. Suau, M. Cazorla, W. Aguilar: Constellations and the Unsupervised Learning of Graphs. GbRPR: 340-350, Alicante Spain (2007)


 F. Escolano, B. Bonev, P. Suau, W. Aguilar, Y.Frauel, J. M. Sáez, M. Cazorla: Contextual Visual Localization: Cascaded Submap Classification, Optimized Saliency Detection, and Fast View Matching. IROS: 1715-1722 San Diego CA (2007)


 J.P. Roda, J.M. Sáez, F. Escolano: Ceiling mosaics through information-based SLAM. IROS: 3898-3904 San Diego CA (2007)
   A. Peñalver, F. Escolano, J.M. Sáez: EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models, ICPR  Hong Kong, China (2006).
   A. Peñalver, F. Escolano, J.M. Sáez; Two Entropy-based Methods for Learning Unsupervised Gaussian Mixture Models. SSPR/SPR: 649-567 Hong Kong, China (2006)

  J.M. Sáez, F. Escolano, 6DOF Entropy Minimization SLAM, ICRA: 1548 -1555 Orlando FL (2006)
   J.M. Sáez, A. Hogue, F. Escolano, M. Jenkin, Underwater 3D SLAM through Entropy Minimization, ICRA: 3562- 3567 Orlando FL (2006)
   M.A. Lozano, F. Escolano: Protein Classification with Kernelized Softassign. GbRPR: 332-341, Poitiers, France (2005)
   M.A. Lozano, F. Escolano: Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR: 342-351, Poitiers, France (2005)
   D. Viejo, J.M. Sáez, M. Cazorla, F.Escolano, Active Stereo Based Compact Mapping,
IROS:
529- 534  Alberta, Canada (2005).
 
J.M. Sáez, F. Escolano, A. Peñalver: First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired. CVPR Workshop: CVAVI San Diego CA (2005)
  M.A. Lozano, F. Escolano: A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR: 76-84, Lisbon Portugal (2004)
 
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