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Richard Nock Vis

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*2009
88EERichard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene, Frank Nielsen: Information geometries and Microeconomic Theories CoRR abs/0901.2586: (2009)
87EEFrank Nielsen, Richard Nock: Hyperbolic Voronoi diagrams made easy CoRR abs/0903.3287: (2009)
86EERichard 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)
2008
85EERichard Nock, Panu Luosto, Jyrki Kivinen: Mixed Bregman Clustering with Approximation Guarantees. ECML/PKDD (2) 2008: 154-169
84EEFrank Nielsen, Richard Nock: Clustering Multivariate Normal Distributions. ETVC 2008: 164-174
83EERichard Nock, Frank Nielsen: Intrinsic Geometries in Learning. ETVC 2008: 175-215
82EEFrank Nielsen, Richard Nock: Bregman sided and symmetrized centroids. ICPR 2008: 1-4
81EERichard Nock, Frank Nielsen: On the efficient minimization of convex surrogates in supervised learning. ICPR 2008: 1-4
80EERichard Nock, Frank Nielsen: On the Efficient Minimization of Classification Calibrated Surrogates. NIPS 2008: 1201-1208
79EERichard Nock, Nicolas Sanz, Fred Celimene, Frank Nielsen: Staring at Economic Aggregators through Information Lenses CoRR abs/0801.0390: (2008)
78EEPascal Vaillant, Richard Nock, Claudia Henry: Analyse spectrale des textes: détection automatique des frontières de langue et de discours CoRR abs/0810.1212: (2008)
77EERichard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry: Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm CoRR abs/0810.1261: (2008)
76EEFrank Nielsen, Richard Nock: On the smallest enclosing information disk. Inf. Process. Lett. 105(3): 93-97 (2008)
2007
75EEClaudia Henry, Richard Nock, Frank Nielsen: Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. IJCAI 2007: 842-847
74EEFrank Nielsen, Richard Nock: Fast Graph Segmentation Based on Statistical Aggregation Phenomena. MVA 2007: 150-153
73EEFrank Nielsen, Jean-Daniel Boissonnat, Richard Nock: On Bregman Voronoi diagrams. SODA 2007: 746-755
72EEFrank Nielsen, Jean-Daniel Boissonnat, Richard Nock: Visualizing bregman voronoi diagrams. Symposium on Computational Geometry 2007: 121-122
71EERichard Nock, Frank Nielsen: A Real generalization of discrete AdaBoost. Artif. Intell. 171(1): 25-41 (2007)
70EEFrank Nielsen, Jean-Daniel Boissonnat, Richard Nock: Bregman Voronoi Diagrams: Properties, Algorithms and Applications CoRR abs/0709.2196: (2007)
69EEFrank Nielsen, Richard Nock: On the Centroids of Symmetrized Bregman Divergences CoRR abs/0711.3242: (2007)
68EEPierre-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)
67EEPierre-Alain Laur, Richard Nock, Jean-Emile Symphor, Pascal Poncelet: Mining evolving data streams for frequent patterns. Pattern Recognition 40(2): 492-503 (2007)
66EERichard Nock, Frank Nielsen: Self-improved gaps almost everywhere for the agnostic approximation of monomials. Theor. Comput. Sci. 377(1-3): 139-150 (2007)
2006
65EEFrank Nielsen, Richard Nock: On the Smallest Enclosing Information Disk. CCCG 2006
64EESvetlana 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
63 Richard Nock, Frank Nielsen: A Real Generalization of Discrete AdaBoost. ECAI 2006: 509-515
62 Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry: Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. ECAI 2006: 823-824
61EERichard Nock, Pierre-Alain Laur, Jean-Emile Symphor: Statistical Borders for Incremental Mining. ICPR (3) 2006: 212-215
60EEPatrice Lefaucheur, Richard Nock: Robust Multiclass Ensemble Classifiers via Symmetric Functions. ICPR (4) 2006: 136-139
59EEFrank Nielsen, Richard Nock: On approximating the smallest enclosing Bregman Balls. Symposium on Computational Geometry 2006: 485-486
58EERichard Nock, Frank Nielsen: On Weighting Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1223-1235 (2006)
2005
57EEFrank Nielsen, Richard Nock: ClickRemoval: interactive pinpoint image object removal. ACM Multimedia 2005: 315-318
56EEPierre-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
55EEFrank Nielsen, Richard Nock: Interactive Pinpoint Image Object Removal. CVPR (2) 2005: 1191
54EERichard Nock, Frank Nielsen: Fitting the Smallest Enclosing Bregman Ball. ECML 2005: 649-656
53EEFrank Nielsen, Richard Nock: Interactive Point-and-Click Segmentation for Object Removal in Digital Images. ICCV-HCI 2005: 131-140
52EEPierre-Alain Laur, Jean-Emile Symphor, Richard Nock, Pascal Poncelet: Statistical Supports for Frequent Itemsets on Data Streams. MLDM 2005: 395-404
51EERichard Nock, Babak Esfandiari: On-Line Adaptive Filtering of Web Pages. PKDD 2005: 634-642
50EEBabak Esfandiari, Richard Nock: Adaptive filtering of advertisements on web pages. WWW (Special interest tracks and posters) 2005: 916-917
49EEFrank Nielsen, Richard Nock: A fast deterministic smallest enclosing disk approximation algorithm. Inf. Process. Lett. 93(6): 263-268 (2005)
48EERichard Nock, Frank Nielsen: Semi-supervised statistical region refinement for color image segmentation. Pattern Recognition 38(6): 835-846 (2005)
47EEJean-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)
2004
46EEFrank Nielsen, Richard Nock: Approximating smallest enclosing disks. CCCG 2004: 124-127
45EERichard Nock, Frank Nielsen: Grouping with Bias Revisited. CVPR (2) 2004: 460-465
44EEFrank Nielsen, Richard Nock: Approximating Smallest Enclosing Balls. ICCSA (3) 2004: 147-157
43EEJean-Christophe Janodet, Richard Nock, Marc Sebban, Henri-Maxime Suchier: Boosting grammatical inference with confidence oracles. ICML 2004
42EERichard Nock, Vincent Pagé: Grouping with Bias for Distribution-Free Mixture Model Estimation. ICPR (2) 2004: 44-47
41EERichard Nock, Frank Nielsen: Improving Clustering Algorithms through Constrained Convex Optimization. ICPR (4) 2004: 557-560
40EERichard Nock, Frank Nielsen: An Abstract Weighting Framework for Clustering Algorithms. SDM 2004
39EERichard Nock, Frank Nielsen: Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1452-1458 (2004)
38EERichard 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)
2003
37EEFrank Nielsen, Richard Nock: On Region Merging: The Statistical Soundness of Fast Sorting, with Applications. CVPR (2) 2003: 19-26
36EERichard Nock, Marc Sebban, Didier Bernard: A Simple Locally Adaptive Nearest Neighbor Rule With Application To Pollution Forecasting. IJPRAI 17(8): 1369-1382 (2003)
35EERichard 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)
34EERichard Nock: Complexity in the case against accuracy estimation. Theor. Comput. Sci. 1-3(301): 143-165 (2003)
2002
33EERichard Nock, Patrice Lefaucheur: A Robust Boosting Algorithm. ECML 2002: 319-330
32EERichard 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)
31EEMarc 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)
30EEMarc Sebban, Richard Nock: A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognition 35(4): 835-846 (2002)
2001
29EERichard Nock: Fast and Reliable Color Region Merging inspired by Decision Tree Pruning. CVPR (1) 2001: 271-
28 Marc Sebban, Richard Nock: Improvement of Nearest-Neighbor Classifiers via Support Vector Machines. FLAIRS Conference 2001: 113-117
27 Marc Sebban, Richard Nock, Stéphane Lallich: Boosting Neighborhood-Based Classifiers. ICML 2001: 505-512
26 Richard Nock, Marc Sebban: Advances in Adaptive Prototype Weighting and Selection. International Journal on Artificial Intelligence Tools 10(1-2): 137-155 (2001)
25 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)
24 Richard Nock, Marc Sebban: A Bayesian boosting theorem. Pattern Recognition Letters 22(3/4): 413-419 (2001)
2000
23EERichard Nock, Marc Sebban: Sharper Bounds for the Hardness of Prototype and Feature Selection. ALT 2000: 224-237
22EEChristophe Fiorio, Richard Nock: A Concentration-Based Adaptive Approach to Region Merging of Optimal Time and Space Complexities. BMVC 2000
21EEMarc Sebban, Richard Nock: Identifying and Eliminating Irrelevant Instances Using Information Theory. Canadian Conference on AI 2000: 90-101
20EERichard Nock, Marc Sebban, Pascal Jabby: A Symmetric Nearest Neighbor Learning Rule. EWCBR 2000: 222-233
19 Richard Nock, Marc Sebban: A Boosting-Based Prototype Weighting and Selection Scheme. FLAIRS Conference 2000: 71-75
18 Christophe Fiorio, Richard Nock: Sorted Region Merging to Maximize Test Reliability. ICIP 2000
17 Marc Sebban, Richard Nock: Instance Pruning as an Information Preserving Problem. ICML 2000: 855-862
16EEMarc Sebban, Richard Nock: Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery. PKDD 2000: 44-53
15EEMarc Sebban, Richard Nock: Combining Feature and Example Pruning by Uncertainty Minimization. UAI 2000: 533-540
14EEMarc 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)
1999
13EERichard Nock: Complexity in the Case against Accuracy: When Building one Function-Free Horn Clause is as Hard as Any. ATL 1999: 182-193
12EERichard Nock, Pascal Jappy: A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees. IDA 1999: 27-38
11 Marc Sebban, Richard Nock: Contribution of Boosting in Wrapper Models. PKDD 1999: 214-222
10 Richard Nock, Marc Sebban, Pascal Jappy: Experiments on a Representation-Independent "Top-Down and Prune" Induction Scheme. PKDD 1999: 223-231
9EERichard Nock, Pascal Jappy: Decision tree based induction of decision lists. Intell. Data Anal. 3(3): 227-240 (1999)
1998
8 Richard Nock, Babak Esfandiari: Oracles and Assistants: Machine Learning Applied to Network Supervision. Canadian Conference on AI 1998: 86-98
7EEPascal Jappy, Richard Nock: PAC Learning Conceptual Graphs. ICCS 1998: 303-318
6 Richard Nock, Pascal Jappy: On the Power of Decision Lists. ICML 1998: 413-420
5 Richard Nock, Pascal Jappy: Function-Free Horn Clauses Are Hard to Approximate. ILP 1998: 195-204
4EERichard Nock, Pascal Jappy, Jean Sallantin: Generalized Graph Colorability and Compressibility of Boolean Formulae. ISAAC 1998: 237-246
3 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)
1996
2 Pascal Jappy, Richard Nock, Olivier Gascuel: Negative Robust Learning Results from Horn Claus Programs. ICML 1996: 258-265
1995
1 Richard Nock, Olivier Gascuel: On Learning Decision Committees. ICML 1995: 413-420

Coauthor Index

1Didier Bernard [36]
2Jean-Daniel Boissonnat [70] [72] [73]
3Bernadette Bouchon-Meunier (Bernadette Bouchon) [3]
4Eric Briys [88]
5Gilles Caraux [3]
6Fred Celimene [79] [88]
7Jean-Hugues Chauchat [14]
8Tapio Elomaa [35]
9Babak Esfandiari [8] [50] [51]
10Fazel Famili (A. Fazel Famili) [64]
11Christophe Fiorio [18] [22]
12Patrick Gallinari [3]
13Olivier Gascuel [1] [2] [3]
14Alain Guénoche (A. Guénoche) [3]
15Yann Guermeur [3]
16Claudia Henry [62] [75] [77] [78] [86]
17Pascal Jabby [20]
18Jean-Christophe Janodet [43] [47]
19Pascal Jappy [2] [4] [5] [6] [7] [9] [10] [12]
20Matti Kääriäinen [35]
21Svetlana Kiritchenko [64]
22Jyrki Kivinen [85]
23Stéphane Lallich [27] [31]
24Pierre-Alain Laur [52] [56] [61] [67] [68]
25Yves Lechevallier [3]
26Patrice Lefaucheur [33] [60]
27Panu Luosto [85]
28Brice Magdalou [88]
29Christophe Marsala [3]
30Stan Matwin [64]
31Laurent Miclet [3]
32Jacques Nicolas [3]
33Frank Nielsen [37] [38] [39] [40] [41] [44] [45] [46] [48] [49] [53] [54] [55] [57] [58] [59] [62] [63] [65] [66] [69] [70] [71] [72] [73] [74] [75] [76] [77] [79] [80] [81] [82] [83] [84] [86] [87] [88]
34Vincent Pagé [42]
35Pascal Poncelet [52] [56] [67] [68]
36Ricco Rakotomalala [14]
37Mohammed Ramdani [3]
38Jean Sallantin [4]
39Nicolas Sanz [79] [88]
40Michèle Sebag [3]
41Marc Sebban [10] [11] [14] [15] [16] [17] [19] [20] [21] [23] [24] [25] [26] [27] [28] [30] [31] [36] [43] [47]
42Henri-Maxime Suchier [43] [47]
43Jean-Emile Symphor [52] [56] [61] [67] [68]
44Basavanneppa Tallur [3]
45Pascal Vaillant [62] [77] [78] [86]
46Gilles Venturini [3]
47Patrick Vitte [3]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)