| 2008 |
|---|
| 32 | EE | Francisco Escolano,
Edwin R. Hancock,
Miguel Angel Lozano:
Birkhoff polytopes, heat kernels and graph complexity.
ICPR 2008: 1-5 |
| 31 | EE | Pablo Suau,
Francisco Escolano:
Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs.
ISVC (2) 2008: 170-180 |
| 30 | EE | Francisco Escolano,
Edwin R. Hancock,
Miguel Angel Lozano:
Polytopal Graph Complexity, Matrix Permanents, and Embedding.
SSPR/SPR 2008: 237-246 |
| 29 | EE | Pablo Suau,
Francisco Escolano:
Bayesian optimization of the scale saliency filter.
Image Vision Comput. 26(9): 1207-1218 (2008) |
| 28 | EE | Boyan Bonev,
Francisco Escolano,
Miguel Cazorla:
Feature selection, mutual information, and the classification of high-dimensional patterns.
Pattern Anal. Appl. 11(3-4): 309-319 (2008) |
| 2007 |
|---|
| 27 | | Francisco Escolano,
Mario Vento:
Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings
Springer 2007 |
| 26 | EE | 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.
GbRPR 2007: 25-36 |
| 25 | EE | Boyan Bonev,
Francisco Escolano,
Miguel Angel Lozano,
Pablo Suau,
Miguel Cazorla,
Wendy Aguilar:
Constellations and the Unsupervised Learning of Graphs.
GbRPR 2007: 340-350 |
| 24 | EE | Francisco Escolano,
Boyan Bonev,
Pablo Suau,
Wendy Aguilar,
Yann Frauel,
Juan Manuel Sáez,
Miguel Cazorla:
Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching.
IROS 2007: 1715-1722 |
| 23 | EE | Jose Pascual Roda,
Juan Manuel Sáez,
Francisco Escolano:
Ceiling mosaics through information-based SLAM.
IROS 2007: 3898-3904 |
| 22 | EE | Pablo Suau,
Francisco Escolano:
Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector.
IbPRIA (2) 2007: 146-153 |
| 21 | EE | Boyan Bonev,
Francisco Escolano,
Miguel Cazorla:
A Novel Information Theory Method for Filter Feature Selection.
MICAI 2007: 431-440 |
| 2006 |
|---|
| 20 | EE | Antonio Peñalver Benavent,
Francisco Escolano,
Juan Manuel Sáez:
Color Image Segmentation Through Unsupervised Gaussian Mixture Models.
IBERAMIA-SBIA 2006: 149-158 |
| 19 | EE | Antonio Peñalver Benavent,
Francisco Escolano,
Juan Manuel Sáez:
Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models.
SSPR/SPR 2006: 649-657 |
| 18 | EE | Miguel Angel Lozano,
Francisco Escolano:
Protein classification by matching and clustering surface graphs.
Pattern Recognition 39(4): 539-551 (2006) |
| 2005 |
|---|
| 17 | EE | Miguel Angel Lozano,
Francisco Escolano:
Protein Classification with Kernelized Softassign.
GbRPR 2005: 332-341 |
| 16 | EE | Miguel Angel Lozano,
Francisco Escolano:
Local Entropic Graphs for Globally-Consistent Graph Matching.
GbRPR 2005: 342-351 |
| 2004 |
|---|
| 15 | EE | Miguel Angel Lozano,
Francisco Escolano:
Regularization Kernels and Softassign.
CIARP 2004: 320-327 |
| 14 | EE | Miguel Angel Lozano,
Francisco Escolano:
Structural Recognition with Kernelized Softassign.
IBERAMIA 2004: 626-635 |
| 13 | EE | Miguel Angel Lozano,
Francisco Escolano:
A Significant Improvement of Softassign with Diffusion Kernels.
SSPR/SPR 2004: 76-84 |
| 2003 |
|---|
| 12 | EE | Miguel Angel Lozano,
Francisco Escolano:
Two New Scale-Adapted Texture Descriptors for Image Segmentation.
CIARP 2003: 137-144 |
| 11 | EE | Antonio Peñalver Benavent,
Juan Manuel Sáez,
Francisco Escolano:
An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures.
CIARP 2003: 432-439 |
| 10 | EE | Juan Manuel Sáez,
Antonio Peñalver Benavent,
Francisco Escolano:
Compact Mapping in Plane-Parallel Environments Using Stereo Vision.
CIARP 2003: 659-666 |
| 9 | EE | Miguel Angel Lozano,
Francisco Escolano:
EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.
EMMCVPR 2003: 52-67 |
| 8 | EE | Miguel Angel Lozano,
Francisco Escolano:
ACM Attributed Graph Clustering for Learning Classes of Images.
GbRPR 2003: 247-258 |
| 7 | EE | Miguel Cazorla,
Francisco Escolano:
Two Bayesian methods for junction classification.
IEEE Transactions on Image Processing 12(3): 317-327 (2003) |
| 2002 |
|---|
| 6 | EE | Juan Manuel Sáez,
Francisco Escolano:
Monte Carlo Localization in 3D Maps Using Stereo Vision.
IBERAMIA 2002: 913-922 |
| 5 | EE | Miguel Angel Lozano,
Francisco Escolano:
Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching.
IBERAMIA 2002: 933-942 |
| 4 | EE | Miguel Cazorla,
Francisco Escolano,
Domingo Gallardo,
Ramón Rizo:
Junction detection and grouping with probabilistic edge models and Bayesian A.
Pattern Recognition 35(9): 1869-1881 (2002) |
| 1999 |
|---|
| 3 | | Miguel Cazorla,
Francisco Escolano,
Domingo Gallardo,
Ramón Rizo:
Bayesian Models for Finding and Grouping Junctions.
EMMCVPR 1999: 70-82 |
| 1998 |
|---|
| 2 | | Francisco Escolano,
Miguel Cazorla,
Domingo Gallardo,
Faraón Llorens,
Rosana Satorre,
Ramón Rizo:
A Combined Probabilistic Framework for Learning Gestures and Actions.
IEA/AIE (Vol. 2) 1998: 658-667 |
| 1997 |
|---|
| 1 | | Francisco Escolano,
Miguel Cazorla,
Domingo Gallardo,
Ramón Rizo:
Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences.
EMMCVPR 1997: 521-534 |
