Bregman vantage point trees for efficient nearest neighbor queries F Nielsen, P Piro, M Barlaud Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on, 878-881, 2009 | 72 | 2009 |
Leveraging k-NN for generic classification boosting P Piro, R Nock, F Nielsen, M Barlaud Neurocomputing, 2011 | 39 | 2011 |
Tailored bregman ball trees for effective nearest neighbors F Nielsen, P Piro, M Barlaud Proceedings of the 25th European Workshop on Computational Geometry (EuroCG …, 2009 | 36 | 2009 |
Image retrieval via kullback-leibler divergence of patches of multiscale coefficients in the knn framework P Piro, S Anthoine, E Debreuve, M Barlaud Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop …, 2008 | 23 | 2008 |
Boosting k-NN for categorization of natural scenes R Nock, P Piro, F Nielsen, WBH Ali, M Barlaud International journal of computer vision 100 (3), 294-314, 2012 | 15 | 2012 |
Describing the Conformational Landscape of Small Organic Molecules through Gaussian Mixtures in Dihedral Space P Pisani, P Piro, S Decherchi, G Bottegoni, D Sona, V Murino, W Rocchia, ... Journal of Chemical Theory and Computation, 2014 | 13 | 2014 |
Biological cells classification using bio-inspired descriptor in a boosting k-NN framework P Piro, D Giampaglia, T Pourcher, M Barlaud Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on, 1-6, 2012 | 13 | 2012 |
Method for measuring the dissimilarity between a first and a second images and a first and second video sequences M Barlaud, S Anthoine, E Debreuve, P Piro US Patent App. 20,100/254,573, 2010 | 12 | 2010 |
Boosting k-NN for categorization of natural scenes P Piro, R Nock, F Nielsen, M Barlaud Arxiv preprint ArXiv:1001.1221, 2010 | 12 | 2010 |
Sparse Multiscale Patches (SMP) for image categorization P Piro, S Anthoine, E Debreuve, M Barlaud Advances in Multimedia Modeling, 227-238, 2009 | 11 | 2009 |
Using neighborhood distributions of wavelet coefficients for on-the-fly, multiscale-based image retrieval S Anthoine, E Debreuve, P Piro, M Barlaud Image Analysis for Multimedia Interactive Services, 2008. WIAMIS'08. Ninth …, 2008 | 9 | 2008 |
Multi-class Leveraged κ-NN for Image Classification P Piro, R Nock, F Nielsen, M Barlaud Computer Vision–ACCV 2010, 67-81, 2011 | 8 | 2011 |
Tailored bregman ball trees for effective nearest neighbors P Piro, F Nielsen, M Barlaud European Workshop on Computational Geometry (EuroCG), LORIA, Nancy, France, 2009 | 8 | 2009 |
Sparse multiscale patches for image processing P Piro, S Anthoine, E Debreuve, M Barlaud Emerging Trends in Visual Computing, 284-304, 2009 | 8 | 2009 |
Classification of biological cells using bio-inspired descriptors D Giampaglia, M Barlaud, P Piro, R Nock, T Pourcher Pattern Recognition (ICPR), 2012 21st International Conference on, 3353-3357, 2012 | 5 | 2012 |
Boosting k-Nearest Neighbors Classification P Piro, R Nock, WBH Ali, F Nielsen, M Barlaud Advanced Topics in Computer Vision, 341-375, 2013 | 4 | 2013 |
Combining spatial and temporal patches for scalable video indexing P Piro, S Anthoine, E Debreuve, M Barlaud Multimedia Tools and Applications 48 (1), 89-104, 2010 | 4 | 2010 |
K-NN boosting prototype learning for object classification P Piro, M Barlaud, R Noch, F Nielsen Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th …, 2010 | 4 | 2010 |
Boosting Bayesian MAP Classification P Piro, R Nock, F Nielsen, M Barlaud Pattern Recognition (ICPR), 2010 20th International Conference on, 661-665, 2010 | 3 | 2010 |
Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization P Piro | 2 | 2010 |