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Paolo Piro
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Year
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
722009
Leveraging k-NN for generic classification boosting
P Piro, R Nock, F Nielsen, M Barlaud
Neurocomputing, 2011
392011
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
362009
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
232008
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
152012
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
132014
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
132012
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
122010
Boosting k-NN for categorization of natural scenes
P Piro, R Nock, F Nielsen, M Barlaud
Arxiv preprint ArXiv:1001.1221, 2010
122010
Sparse Multiscale Patches (SMP) for image categorization
P Piro, S Anthoine, E Debreuve, M Barlaud
Advances in Multimedia Modeling, 227-238, 2009
112009
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
92008
Multi-class Leveraged κ-NN for Image Classification
P Piro, R Nock, F Nielsen, M Barlaud
Computer Vision–ACCV 2010, 67-81, 2011
82011
Tailored bregman ball trees for effective nearest neighbors
P Piro, F Nielsen, M Barlaud
European Workshop on Computational Geometry (EuroCG), LORIA, Nancy, France, 2009
82009
Sparse multiscale patches for image processing
P Piro, S Anthoine, E Debreuve, M Barlaud
Emerging Trends in Visual Computing, 284-304, 2009
82009
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
52012
Boosting k-Nearest Neighbors Classification
P Piro, R Nock, WBH Ali, F Nielsen, M Barlaud
Advanced Topics in Computer Vision, 341-375, 2013
42013
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
42010
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
42010
Boosting Bayesian MAP Classification
P Piro, R Nock, F Nielsen, M Barlaud
Pattern Recognition (ICPR), 2010 20th International Conference on, 661-665, 2010
32010
Learning prototype-based classification rules in a boosting framework: application to real-world and medical image categorization
P Piro
22010
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Articles 1–20