- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| i13 |      | Marc Sebban, Richard Nock: Combining Feature and Prototype Pruning by Uncertainty Minimization. CoRR abs/1301.3891 (2013) |
| 2012 | ||
| j32 | | Richard Nock, Paolo Piro, Frank Nielsen, Wafa Bel Haj Ali, Michel Barlaud: Boosting k-NN for Categorization of Natural Scenes. International Journal of Computer Vision 100(3): 294-314 (2012) |
| j31 | | Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud: Leveraging k-NN for generic classification boosting. Neurocomputing 80: 3-9 (2012) |
| c71 | | Wafa Bel Haj Ali, Dario Giampaglia, Michel Barlaud, Paolo Piro, Richard Nock, Thierry Pourcher: Classification of biological cells using bio-inspired descriptors. ICPR 2012: 3353-3357 |
| c70 | | Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud: Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability. MLMI 2012: 119-127 |
| c69 | | Roberto D'Ambrosio, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud: Boosting Nearest Neighbors for the Efficient Estimation of Posteriors. ECML/PKDD (1) 2012: 314-329 |
| i12 | | Frank Nielsen, Richard Nock: The hyperbolic Voronoi diagram in arbitrary dimension. CoRR abs/1210.8234 (2012) |
| 2011 | ||
| j30 | | Brice Magdalou, Richard Nock: Income distributions and decomposable divergence measures. J. Economic Theory 146(6): 2440-2454 (2011) |
| j29 | | Frank Nielsen, Richard Nock: Skew Jensen-Bregman Voronoi Diagrams. Transactions on Computational Science 14: 102-128 (2011) |
| c68 |  | Richard Nock, Brice Magdalou, Eric Briys, Frank Nielsen: On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive. ICML 2011: 73-80 |
| i11 | | Frank Nielsen, Richard Nock: On Rényi and Tsallis entropies and divergences for exponential families. CoRR abs/1105.3259 (2011) |
| i10 | | Richard Nock: Inducing Interpretable Voting Classifiers without Trading Accuracy for Simplicity: Theoretical Results, Approximation Algorithms. CoRR abs/1106.1818 (2011) |
| i9 | | Frank Nielsen, Richard Nock: A closed-form expression for the Sharma-Mittal entropy of exponential families. CoRR abs/1112.4221 (2011) |
| 2010 | ||
| j28 | | Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock: Bregman Voronoi Diagrams. Discrete & Computational Geometry 44(2): 281-307 (2010) |
| c67 | | Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud: Multi-class Leveraged κ-NN for Image Classification. ACCV (3) 2010: 67-81 |
| c66 | | Vincent Garcia, Frank Nielsen, Richard Nock: Hierarchical Gaussian Mixture Model. ICASSP 2010: 4070-4073 |
| c65 | | |
| c64 | | Frank Nielsen, Richard Nock: Entropies and cross-entropies of exponential families. ICIP 2010: 3621-3624 |
| c63 | | Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud: Boosting Bayesian MAP Classification. ICPR 2010: 661-665 |
| c62 | | Frank Nielsen, Richard Nock: Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations. ISVD 2010: 56-65 |
| c61 | | Paolo Piro, Michel Barlaud, Richard Nock, Frank Nielsen: K-NN boosting prototype learning for object classification. WIAMIS 2010: 1-4 |
| i8 | | Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud: Boosting k-NN for categorization of natural scenes. CoRR abs/1001.1221 (2010) |
| 2009 | ||
| j27 | | Frank Nielsen, Richard Nock: Approximating Smallest Enclosing Balls with Applications to Machine Learning. Int. J. Comput. Geometry Appl. 19(5): 389-414 (2009) |
| j26 | | Richard Nock, Frank Nielsen: Bregman Divergences and Surrogates for Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2048-2059 (2009) |
| j25 | | Richard Nock, Pascal Vaillant, Claudia Henry, Frank Nielsen: Soft memberships for spectral clustering, with application to permeable language distinction. Pattern Recognition 42(1): 43-53 (2009) |
| j24 | | Frank Nielsen, Richard Nock: Sided and symmetrized Bregman centroids. IEEE Transactions on Information Theory 55(6): 2882-2904 (2009) |
| c60 | | Vincent Garcia, Frank Nielsen, Richard Nock: Levels of Details for Gaussian Mixture Models. ACCV (2) 2009: 514-525 |
| c59 | | Frank Nielsen, Richard Nock: The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences. ISVD 2009: 71-78 |
| i7 | | Richard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene, Frank Nielsen: Information geometries and Microeconomic Theories. CoRR abs/0901.2586 (2009) |
| i6 | | |
| 2008 | ||
| j23 | | Frank Nielsen, Richard Nock: On the smallest enclosing information disk. Inf. Process. Lett. 105(3): 93-97 (2008) |
| c58 | | |
| c57 | | |
| c56 | | |
| c55 | | Richard Nock, Frank Nielsen: On the efficient minimization of convex surrogates in supervised learning. ICPR 2008: 1-4 |
| c54 | | Frank Nielsen, Richard Nock: Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states. ISIT 2008: 96-100 |
| c53 | | Richard Nock, Frank Nielsen: On the Efficient Minimization of Classification Calibrated Surrogates. NIPS 2008: 1201-1208 |
| c52 | | Richard Nock, Panu Luosto, Jyrki Kivinen: Mixed Bregman Clustering with Approximation Guarantees. ECML/PKDD (2) 2008: 154-169 |
| i5 | | Richard Nock, Nicolas Sanz, Fred Celimene, Frank Nielsen: Staring at Economic Aggregators through Information Lenses. CoRR abs/0801.0390 (2008) |
| i4 | | Pascal Vaillant, Richard Nock, Claudia Henry: Analyse spectrale des textes: détection automatique des frontières de langue et de discours. CoRR abs/0810.1212 (2008) |
| i3 | | Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry: Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. CoRR abs/0810.1261 (2008) |
| 2007 | ||
| j22 | | Richard Nock, Frank Nielsen: A Real generalization of discrete AdaBoost. Artif. Intell. 171(1): 25-41 (2007) |
| j21 | | Pierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet: Statistical supports for mining sequential patterns and improving the incremental update process on data streams. Intell. Data Anal. 11(1): 29-47 (2007) |
| j20 | | Pierre-Alain Laur, Richard Nock, Jean-Emile Symphor, Pascal Poncelet: Mining evolving data streams for frequent patterns. Pattern Recognition 40(2): 492-503 (2007) |
| j19 | | Richard Nock, Frank Nielsen: Self-improved gaps almost everywhere for the agnostic approximation of monomials. Theor. Comput. Sci. 377(1-3): 139-150 (2007) |
| c51 | | Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock: Visualizing bregman voronoi diagrams. Symposium on Computational Geometry 2007: 121-122 |
| c50 | | Claudia Henry, Richard Nock, Frank Nielsen: Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. IJCAI 2007: 842-847 |
| c49 | | Frank Nielsen, Richard Nock: Fast Graph Segmentation Based on Statistical Aggregation Phenomena. MVA 2007: 150-153 |
| c48 | | Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock: On Bregman Voronoi diagrams. SODA 2007: 746-755 |
| i2 | | Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock: Bregman Voronoi Diagrams: Properties, Algorithms and Applications. CoRR abs/0709.2196 (2007) |
| i1 | | Frank Nielsen, Richard Nock: On the Centroids of Symmetrized Bregman Divergences. CoRR abs/0711.3242 (2007) |
| 2006 | ||
| j18 | | Richard Nock, Frank Nielsen: On Weighting Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1223-1235 (2006) |
| c47 | | Svetlana Kiritchenko, Stan Matwin, Richard Nock, A. Fazel Famili: Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization. Canadian Conference on AI 2006: 395-406 |
| c46 | | |
| c45 | | Frank Nielsen, Richard Nock: On approximating the smallest enclosing Bregman Balls. Symposium on Computational Geometry 2006: 485-486 |
| c44 | | |
| c43 | | Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry: Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. ECAI 2006: 823-824 |
| c42 | | Patrice Lefaucheur, Richard Nock: Robust Multiclass Ensemble Classifiers via Symmetric Functions. ICPR (4) 2006: 136-139 |
| c41 | | Richard Nock, Pierre-Alain Laur, Jean-Emile Symphor: Statistical Borders for Incremental Mining. ICPR (3) 2006: 212-215 |
| 2005 | ||
| j17 | | Frank Nielsen, Richard Nock: A fast deterministic smallest enclosing disk approximation algorithm. Inf. Process. Lett. 93(6): 263-268 (2005) |
| j16 | | Richard Nock, Frank Nielsen: Semi-supervised statistical region refinement for color image segmentation. Pattern Recognition 38(6): 835-846 (2005) |
| j15 | | Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier: Adaptation du boosting à l'inférence grammaticale via l'utilisation d'un oracle de confiance. Revue d'Intelligence Artificielle 19(4-5): 713-740 (2005) |
| c40 | | Pierre-Alain Laur, Richard Nock, Jean-Emile Symphor, Pascal Poncelet: On the estimation of frequent itemsets for data streams: theory and experiments. CIKM 2005: 327-328 |
| c39 | | |
| c38 | | |
| c37 | | Frank Nielsen, Richard Nock: Interactive Point-and-Click Segmentation for Object Removal in Digital Images. ICCV-HCI 2005: 131-140 |
| c36 | | Pierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet: Statistical Supports for Frequent Itemsets on Data Streams. MLDM 2005: 395-404 |
| c35 | | Frank Nielsen, Richard Nock: ClickRemoval: interactive pinpoint image object removal. ACM Multimedia 2005: 315-318 |
| c34 | | |
| c33 | | Babak Esfandiari, Richard Nock: Adaptive filtering of advertisements on web pages. WWW (Special interest tracks and posters) 2005: 916-917 |
| 2004 | ||
| j14 | | Richard Nock, Frank Nielsen: Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1452-1458 (2004) |
| j13 | | Richard Nock, Frank Nielsen: On domain-partitioning induction criteria: worst-case bounds for the worst-case based. Theor. Comput. Sci. 321(2-3): 371-382 (2004) |
| c32 | | |
| c31 | | |
| c30 | | |
| c29 | | Jean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier: Boosting grammatical inference with confidence oracles. ICML 2004 |
| c28 | | Richard Nock, Vincent Pagé: Grouping with Bias for Distribution-Free Mixture Model Estimation. ICPR (2) 2004: 44-47 |
| c27 | | Richard Nock, Frank Nielsen: Improving Clustering Algorithms through Constrained Convex Optimization. ICPR (4) 2004: 557-560 |
| c26 | | |
| 2003 | ||
| j12 | | Richard Nock, Marc Sebban, Didier Bernard: A Simple Locally Adaptive Nearest Neighbor Rule With Application To Pollution Forecasting. IJPRAI 17(8): 1369-1382 (2003) |
| j11 | | Richard Nock, Tapio Elomaa, Matti Kääriäinen: Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor. Inf. Process. Lett. 87(2): 73-78 (2003) |
| j10 | | Richard Nock: Complexity in the case against accuracy estimation. Theor. Comput. Sci. 1-3(301): 143-165 (2003) |
| c25 | | Frank Nielsen, Richard Nock: On Region Merging: The Statistical Soundness of Fast Sorting, with Applications. CVPR (2) 2003: 19-26 |
| 2002 | ||
| j9 | | Richard Nock: Inducing Interpretable Voting Classifiers without Trading Accuracy for Simplicity: Theoretical Results, Approximation Algorithms, and Experiments. J. Artif. Intell. Res. (JAIR) 17: 137-170 (2002) |
| j8 | | Marc Sebban, Richard Nock, Stéphane Lallich: Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem. Journal of Machine Learning Research 3: 863-885 (2002) |
| j7 | | Marc Sebban, Richard Nock: A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognition 35(4): 835-846 (2002) |
| c24 | | |
| 2001 | ||
| j6 | | Richard Nock, Marc Sebban: Advances in Adaptive Prototype Weighting and Selection. International Journal on Artificial Intelligence Tools 10(1-2): 137-155 (2001) |
| j5 | | Richard Nock, Marc Sebban: An improved bound on the finite-sample risk of the nearest neighbor rule. Pattern Recognition Letters 22(3/4): 407-412 (2001) |
| j4 | | Richard Nock, Marc Sebban: A Bayesian boosting theorem. Pattern Recognition Letters 22(3/4): 413-419 (2001) |
| c23 | | Richard Nock: Fast and Reliable Color Region Merging inspired by Decision Tree Pruning. CVPR (1) 2001: 271- |
| c22 | | Marc Sebban, Richard Nock: Improvement of Nearest-Neighbor Classifiers via Support Vector Machines. FLAIRS Conference 2001: 113-117 |
| c21 | | Marc Sebban, Richard Nock, Stéphane Lallich: Boosting Neighborhood-Based Classifiers. ICML 2001: 505-512 |
| 2000 | ||
| j3 | | Marc Sebban, Richard Nock, Jean-Hugues Chauchat, Ricco Rakotomalala: Impact of learning set quality and size on decision tree performances. Int. J. Comput. Syst. Signal 1(1): 85-105 (2000) |
| c20 | | Marc Sebban, Richard Nock: Identifying and Eliminating Irrelevant Instances Using Information Theory. Canadian Conference on AI 2000: 90-101 |
| c19 | | Richard Nock, Marc Sebban: Sharper Bounds for the Hardness of Prototype and Feature Selection. ALT 2000: 224-237 |
| c18 | | Christophe Fiorio, Richard Nock: A Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities. BMVC 2000: 1-10 |
| c17 | | Richard Nock, Marc Sebban, Pascal Jabby: A Symmetric Nearest Neighbor Learning Rule. EWCBR 2000: 222-233 |
| c16 | | Richard Nock, Marc Sebban: A Boosting-Based Prototype Weighting and Selection Scheme. FLAIRS Conference 2000: 71-75 |
| c15 | | Christophe Fiorio, Richard Nock: Sorted Region Merging to Maximize Test Reliability. ICIP 2000: 808-811 |
| c14 | | Marc Sebban, Richard Nock: Instance Pruning as an Information Preserving Problem. ICML 2000: 855-862 |
| c13 | | Marc Sebban, Richard Nock: Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery. PKDD 2000: 44-53 |
| c12 | | Marc Sebban, Richard Nock: Combining Feature and Example Pruning by Uncertainty Minimization. UAI 2000: 533-540 |
| 1999 | ||
| j2 | | Richard Nock, Pascal Jappy: Decision tree based induction of decision lists. Intell. Data Anal. 3(3): 227-240 (1999) |
| c11 | | Richard Nock: Complexity in the Case against Accuracy: When Building one Function-Free Horn Clause is as Hard as Any. ALT 1999: 182-193 |
| c10 | | Richard Nock, Pascal Jappy: A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees. IDA 1999: 27-38 |
| c9 | | |
| c8 | | Richard Nock, Marc Sebban, Pascal Jappy: Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. PKDD 1999: 223-231 |
| 1998 | ||
| j1 | | Olivier Gascuel, Bernadette Bouchon-Meunier, Gilles Caraux, Patrick Gallinari, Alain Guénoche, Yann Guermeur, Yves Lechevallier, Christophe Marsala, Laurent Miclet, Jacques Nicolas, Richard Nock, Mohammed Ramdani, Michèle Sebag, Basavanneppa Tallur, Gilles Venturini, Patrick Vitte: Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods. IJPRAI 12(4): 517-571 (1998) |
| c7 | | Richard Nock, Babak Esfandiari: Oracles and Assistants: Machine Learning Applied to Network Supervision. Canadian Conference on AI 1998: 86-98 |
| c6 | | |
| c5 | | |
| c4 | | |
| c3 | | Richard Nock, Pascal Jappy, Jean Sallantin: Generalized Graph Colorability and Compressibility of Boolean Formulae. ISAAC 1998: 237-246 |
| 1996 | ||
| c2 | | Pascal Jappy, Richard Nock, Olivier Gascuel: Negative Robust Learning Results from Horn Claus Programs. ICML 1996: 258-265 |
| 1995 | ||
| c1 | | |
Colors in the list of coauthors
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