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Frank Nielsen
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Publications
- 2024
- [c139]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. AAAI 2024: 10838-10846 - [i110]Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth:
Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR abs/2402.04163 (2024) - [i107]Frank Nielsen, Alexander Soen:
pyBregMan: A Python library for Bregman Manifolds. CoRR abs/2408.04175 (2024) - 2023
- [c135]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML 2023: 21026-21050 - [c133]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. TAG-ML 2023: 254-266 - [e9]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14071, Springer 2023, ISBN 978-3-031-38270-3 [contents] - [e8]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14072, Springer 2023, ISBN 978-3-031-38298-7 [contents] - [i103]Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR abs/2302.09738 (2023) - [i100]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. CoRR abs/2309.04015 (2023) - [i99]Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs. CoRR abs/2311.13459 (2023) - 2022
- [i96]Frank Nielsen, Ke Sun:
Non-linear Embeddings in Hilbert Simplex Geometry. CoRR abs/2203.11434 (2022) - [i91]Rob Brekelmans, Frank Nielsen:
Rho-Tau Bregman Information and the Geometry of Annealing Paths. CoRR abs/2209.07481 (2022) - 2021
- [j56]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2782-2789 (2021) - [c130]Frank Nielsen, Richard Nock:
Computing Statistical Divergences with Sigma Points. GSI 2021: 677-684 - [c129]Yann Cabanes, Frank Nielsen:
Classification in the Siegel Space for Vectorial Autoregressive Data. GSI 2021: 693-700 - [c127]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural-gradient descent using local parameterizations. ICML 2021: 6680-6691 - [c126]Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the geometric annealing path using power means. UAI 2021: 1938-1947 - [e7]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 5th International Conference, GSI 2021, Paris, France, July 21-23, 2021, Proceedings. Lecture Notes in Computer Science 12829, Springer 2021, ISBN 978-3-030-80208-0 [contents] - [e6]Frédéric Barbaresco, Frank Nielsen:
Geometric Structures of Statistical Physics, Information Geometry, and Learning - SPIGL'20, Les Houches, France, July 27-31. Springer 2021, ISBN 978-3-030-77956-6 [contents] - [i88]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Tractable structured natural gradient descent using local parameterizations. CoRR abs/2102.07405 (2021) - [i84]Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood:
q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR abs/2107.00745 (2021) - [i81]Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt:
Structured second-order methods via natural gradient descent. CoRR abs/2107.10884 (2021) - 2020
- [i77]Frank Nielsen, Richard Nock:
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family. CoRR abs/2003.02469 (2020) - [i73]Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen:
Annealed Importance Sampling with q-Paths. CoRR abs/2012.07823 (2020) - [i72]Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg:
Likelihood Ratio Exponential Families. CoRR abs/2012.15480 (2020) - 2019
- [c123]Frank Nielsen, Richard Nock:
The Bregman Chord Divergence. GSI 2019: 299-308 - [c120]Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. UAI 2019: 733-743 - [e5]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - 4th International Conference, GSI 2019, Toulouse, France, August 27-29, 2019, Proceedings. Lecture Notes in Computer Science 11712, Springer 2019, ISBN 978-3-030-26979-1 [contents] - [i66]Ke Sun, Frank Nielsen:
Lightlike Neuromanifolds, Occam's Razor and Deep Learning. CoRR abs/1905.11027 (2019) - [i62]Ke Sun, Frank Nielsen:
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions. CoRR abs/1911.12463 (2019) - 2018
- [c116]Frank Nielsen, Richard Nock:
On the Geometry of Mixtures of Prescribed Distributions. ICASSP 2018: 2861-2865 - [c115]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures. MLSP 2018: 1-6 - [i59]Frank Nielsen, Ke Sun:
q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. CoRR abs/1806.00149 (2018) - [i58]Frank Nielsen, Ke Sun:
Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. CoRR abs/1806.11311 (2018) - [i56]Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen:
Sinkhorn AutoEncoders. CoRR abs/1810.01118 (2018) - [i55]Frank Nielsen, Richard Nock:
The Bregman chord divergence. CoRR abs/1810.09113 (2018) - [i53]Frank Nielsen, Ke Sun:
On The Chain Rule Optimal Transport Distance. CoRR abs/1812.08113 (2018) - 2017
- [j48]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder Projective Divergences. Entropy 19(3): 122 (2017) - [j47]Frank Nielsen, Richard Nock:
MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions. IEEE Signal Process. Lett. 24(4): 402-406 (2017) - [j46]Frank Nielsen, Richard Nock:
Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity. IEEE Signal Process. Lett. 24(8): 1123-1127 (2017) - [c114]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. AAAI 2017: 2387-2393 - [c112]Frank Nielsen, Richard Nock:
Bregman Divergences from Comparative Convexity. GSI 2017: 639-647 - [c110]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
k-Means Clustering with Hölder Divergences. GSI 2017: 856-863 - [c108]Frank Nielsen, Ke Sun:
Combinatorial bounds on the α-divergence of univariate mixture models. ICASSP 2017: 4476-4480 - [c106]Ke Sun, Frank Nielsen:
Relative Fisher Information and Natural Gradient for Learning Large Modular Models. ICML 2017: 3289-3298 - [e4]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings. Lecture Notes in Computer Science 10589, Springer 2017, ISBN 978-3-319-68444-4 [contents] - [i52]Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet:
On Hölder projective divergences. CoRR abs/1701.03916 (2017) - [i51]Frank Nielsen, Richard Nock:
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means. CoRR abs/1702.04877 (2017) - [i50]Frank Nielsen, Ke Sun:
Clustering in Hilbert simplex geometry. CoRR abs/1704.00454 (2017) - [i49]Richard Nock, Frank Nielsen:
Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set. CoRR abs/1704.02708 (2017) - [i47]Frank Nielsen, Richard Nock:
On w-mixtures: Finite convex combinations of prescribed component distributions. CoRR abs/1708.00568 (2017) - 2016
- [j45]Frank Nielsen, Ke Sun:
Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities. Entropy 18(12): 442 (2016) - [j44]Frank Nielsen, Ke Sun:
Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures. IEEE Signal Process. Lett. 23(11): 1543-1546 (2016) - [j43]Richard Nock, Frank Nielsen, Shun-ichi Amari:
On Conformal Divergences and Their Population Minimizers. IEEE Trans. Inf. Theory 62(1): 527-538 (2016) - [c103]Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen:
Comix: Joint estimation and lightspeed comparison of mixture models. ICASSP 2016: 2449-2453 - [c102]Frank Nielsen, Boris Muzellec, Richard Nock:
Classification with mixtures of curved mahalanobis metrics. ICIP 2016: 241-245 - [c100]Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen:
k-variates++: more pluses in the k-means++. ICML 2016: 145-154 - [c99]Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni:
Loss factorization, weakly supervised learning and label noise robustness. ICML 2016: 708-717 - [c96]Stéphane Marchand-Maillet, Edgar Roman-Rangel, Hisham Mohamed, Frank Nielsen:
Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemes. SISAP 2016: 79-92 - [c95]Frank Nielsen, Richard Nock:
Patch Matching with Polynomial Exponential Families and Projective Divergences. SISAP 2016: 109-116 - [i43]Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen:
k-variates++: more pluses in the k-means++. CoRR abs/1602.01198 (2016) - [i41]Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni:
Loss factorization, weakly supervised learning and label noise robustness. CoRR abs/1602.02450 (2016) - [i39]Frank Nielsen, Richard Nock:
Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices. CoRR abs/1604.01592 (2016) - [i38]Frank Nielsen, Ke Sun:
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities. CoRR abs/1606.05850 (2016) - [i37]Ke Sun, Frank Nielsen:
Relative Natural Gradient for Learning Large Complex Models. CoRR abs/1606.06069 (2016) - [i36]Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen:
Tsallis Regularized Optimal Transport and Ecological Inference. CoRR abs/1609.04495 (2016) - [i35]Frank Nielsen, Boris Muzellec, Richard Nock:
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. CoRR abs/1609.07082 (2016) - [i34]Frank Nielsen, Richard Nock:
A series of maximum entropy upper bounds of the differential entropy. CoRR abs/1612.02954 (2016) - 2015
- [j42]Richard Nock, Wafa Bel Haj Ali, Roberto D'Ambrosio, Frank Nielsen, Michel Barlaud:
Gentle Nearest Neighbors Boosting over Proper Scoring Rules. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 80-93 (2015) - [c92]Olivier Schwander, Frank Nielsen:
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models. GSI 2015: 387-395 - [c89]Frank Nielsen, Richard Nock:
Total Jensen divergences: Definition, properties and clustering. ICASSP 2015: 2016-2020 - [e3]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings. Lecture Notes in Computer Science 9389, Springer 2015, ISBN 978-3-319-25039-7 [contents] - 2014
- [j41]Frank Nielsen, Richard Nock, Shun-ichi Amari:
On Clustering Histograms with k-Means by Using Mixed α-Divergences. Entropy 16(6): 3273-3301 (2014) - [j39]Frank Nielsen, Richard Nock:
On the Chi Square and Higher-Order Chi Distances for Approximating $f$ -Divergences. IEEE Signal Process. Lett. 21(1): 10-13 (2014) - [j38]Frank Nielsen, Richard Nock:
Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning. IEEE Signal Process. Lett. 21(10): 1289-1292 (2014) - [c87]Frank Nielsen, Richard Nock:
Visualizing hyperbolic Voronoi diagrams. SoCG 2014: 90 - [i28]Frank Nielsen, Richard Nock:
A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures. CoRR abs/1403.2485 (2014) - [i27]Frank Nielsen, Richard Nock:
Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means. CoRR abs/1406.6314 (2014) - [i26]Frank Nielsen, Richard Nock:
Further results on the hyperbolic Voronoi diagrams. CoRR abs/1410.1036 (2014) - 2013
- [j37]Marc Arnaudon, Frank Nielsen:
On approximating the Riemannian 1-center. Comput. Geom. 46(1): 93-104 (2013) - [c86]Frank Nielsen, Richard Nock:
Consensus Region Merging for Image Segmentation. ACPR 2013: 325-329 - [c83]Richard Nock, Frank Nielsen, Eric Briys:
Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries. JCDL 2013: 313-322 - [c81]Richard Nock, Frank Nielsen:
Information-geometric lenses for multiple foci+contexts interfaces. SIGGRAPH ASIA Technical Briefs 2013: 18:1-18:4 - [c79]Olivier Schwander, Frank Nielsen:
Fast Learning of Gamma Mixture Models with k-MLE. SIMBAD 2013: 235-249 - [e2]Frank Nielsen, Frédéric Barbaresco:
Geometric Science of Information - First International Conference, GSI 2013, Paris, France, August 28-30, 2013. Proceedings. Lecture Notes in Computer Science 8085, Springer 2013, ISBN 978-3-642-40019-3 [contents] - [i22]Frank Nielsen, Richard Nock:
On the Chi square and higher-order Chi distances for approximating f-divergences. CoRR abs/1309.3029 (2013) - [i21]Frank Nielsen, Richard Nock:
Total Jensen divergences: Definition, Properties and k-Means++ Clustering. CoRR abs/1309.7109 (2013) - [i20]Richard Nock, Frank Nielsen, Shun-ichi Amari:
On conformal divergences and their population minimizers. CoRR abs/1311.5125 (2013) - 2012
- [j34]Richard Nock, Paolo Piro, Frank Nielsen, Wafa Bel Haj Ali, Michel Barlaud:
Boosting k-NN for Categorization of Natural Scenes. Int. J. Comput. Vis. 100(3): 294-314 (2012) - [j33]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Leveraging k-NN for generic classification boosting. Neurocomputing 80: 3-9 (2012) - [j32]Marc Arnaudon, Frank Nielsen:
Medians and means in Finsler geometry. LMS J. Comput. Math. 15: 23-37 (2012) - [j31]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2407-2419 (2012) - [c78]Olivier Schwander, Frank Nielsen:
Model centroids for the simplification of Kernel Density estimators. ICASSP 2012: 737-740 - [c75]Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu:
k-MLE for mixtures of generalized Gaussians. ICPR 2012: 2825-2828 - [c74]Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri:
Jensen divergence based SPD matrix means and applications. ICPR 2012: 2841-2844 - [c73]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 - [c72]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 - [i18]Frank Nielsen, Richard Nock:
The hyperbolic Voronoi diagram in arbitrary dimension. CoRR abs/1210.8234 (2012) - 2011
- [j30]Frank Nielsen, Richard Nock:
Skew Jensen-Bregman Voronoi Diagrams. Trans. Comput. Sci. 14: 102-128 (2011) - [j29]Frank Nielsen, Sylvain Boltz:
The Burbea-Rao and Bhattacharyya Centroids. IEEE Trans. Inf. Theory 57(8): 5455-5466 (2011) - [j28]Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen:
Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging 30(2): 475-483 (2011) - [c69]Olivier Schwander, Frank Nielsen:
Non-flat clustering with alpha-divergences. ICASSP 2011: 2100-2103 - [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 - [i17]Marc Arnaudon, Frank Nielsen:
On Approximating the Riemannian 1-Center. CoRR abs/1101.4718 (2011) - [i15]Frank Nielsen, Richard Nock:
On Rényi and Tsallis entropies and divergences for exponential families. CoRR abs/1105.3259 (2011) - [i14]Frank Nielsen, Richard Nock:
A closed-form expression for the Sharma-Mittal entropy of exponential families. CoRR abs/1112.4221 (2011) - 2010
- [j27]Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock:
Bregman Voronoi Diagrams. Discret. Comput. Geom. 44(2): 281-307 (2010) - [j26]Vincent Garcia, Frank Nielsen:
Simplification and hierarchical representations of mixtures of exponential families. Signal Process. 90(12): 3197-3212 (2010) - [c67]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Multi-class Leveraged κ-NN for Image Classification. ACCV (3) 2010: 67-81 - [c66]Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen:
Total Bregman divergence and its applications to shape retrieval. CVPR 2010: 3463-3468 - [c65]Sylvain Boltz, Frank Nielsen, Stefano Soatto:
Texture Regimes for Entropy-Based Multiscale Image Analysis. ECCV (3) 2010: 692-705 - [c64]Vincent Garcia, Frank Nielsen, Richard Nock:
Hierarchical Gaussian Mixture Model. ICASSP 2010: 4070-4073 - [c63]Frank Nielsen, Richard Nock:
Hyperbolic Voronoi Diagrams Made Easy. ICCSA Workshops 2010: 74-80 - [c62]Sylvain Boltz, Frank Nielsen:
Randomized motion estimation. ICIP 2010: 781-784 - [c61]Frank Nielsen, Richard Nock:
Entropies and cross-entropies of exponential families. ICIP 2010: 3621-3624 - [c60]Vincent Garcia, Eric Debreuve, Frank Nielsen, Michel Barlaud:
K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching. ICIP 2010: 3757-3760 - [c59]Sylvain Boltz, Frank Nielsen, Stefano Soatto:
Earth Mover Distance on superpixels. ICIP 2010: 4597-4600 - [c58]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Boosting Bayesian MAP Classification. ICPR 2010: 661-665 - [c57]Frank Nielsen, Sylvain Boltz, Olivier Schwander:
Bhattacharyya Clustering with Applications to Mixture Simplifications. ICPR 2010: 1437-1440 - [c56]Frank Nielsen, Richard Nock:
Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations. ISVD 2010: 56-65 - [c55]Olivier Schwander, Frank Nielsen:
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means. VISAPP (1) 2010: 118-123 - [c54]Paolo Piro, Michel Barlaud, Richard Nock, Frank Nielsen:
K-NN boosting prototype learning for object classification. WIAMIS 2010: 1-4 - [i13]Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
Boosting k-NN for categorization of natural scenes. CoRR abs/1001.1221 (2010) - [i12]Frank Nielsen, Sylvain Boltz:
The Burbea-Rao and Bhattacharyya centroids. CoRR abs/1004.5049 (2010) - [i9]Marc Arnaudon, Frank Nielsen:
Medians and means in Finsler geometry. CoRR abs/1011.6076 (2010) - 2009
- [j24]Frank Nielsen, Richard Nock:
Approximating Smallest Enclosing Balls with Applications to Machine Learning. Int. J. Comput. Geom. Appl. 19(5): 389-414 (2009) - [j23]Richard Nock, Frank Nielsen:
Bregman Divergences and Surrogates for Learning. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2048-2059 (2009) - [j22]Richard Nock, Pascal Vaillant, Claudia Henry, Frank Nielsen:
Soft memberships for spectral clustering, with application to permeable language distinction. Pattern Recognit. 42(1): 43-53 (2009) - [j21]Frank Nielsen, Richard Nock:
Sided and symmetrized Bregman centroids. IEEE Trans. Inf. Theory 55(6): 2882-2904 (2009) - [c53]Vincent Garcia, Frank Nielsen, Richard Nock:
Levels of Details for Gaussian Mixture Models. ACCV (2) 2009: 514-525 - [c52]Frank Nielsen, Vincent Garcia, Richard Nock:
Simplifying Gaussian mixture models via entropic quantization. EUSIPCO 2009: 2012-2016 - [c51]Frank Nielsen, Paolo Piro, Michel Barlaud:
Bregman vantage point trees for efficient nearest Neighbor Queries. ICME 2009: 878-881 - [c50]Frank Nielsen, Richard Nock:
The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences. ISVD 2009: 71-78 - [c48]Vincent Garcia, Frank Nielsen:
Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method. MIRAGE 2009: 425-436 - [i8]Richard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene, Frank Nielsen:
Information geometries and Microeconomic Theories. CoRR abs/0901.2586 (2009) - [i7]Frank Nielsen, Richard Nock:
Hyperbolic Voronoi diagrams made easy. CoRR abs/0903.3287 (2009) - [i6]Frank Nielsen, Vincent Garcia:
Statistical exponential families: A digest with flash cards. CoRR abs/0911.4863 (2009) - 2008
- [j20]Frank Nielsen, Richard Nock:
On the smallest enclosing information disk. Inf. Process. Lett. 105(3): 93-97 (2008) - [c46]Frank Nielsen, Richard Nock:
Clustering Multivariate Normal Distributions. ETVC 2008: 164-174 - [c45]Richard Nock, Frank Nielsen:
Intrinsic Geometries in Learning. ETVC 2008: 175-215 - [c43]Frank Nielsen, Richard Nock:
Bregman sided and symmetrized centroids. ICPR 2008: 1-4 - [c42]Richard Nock, Frank Nielsen:
On the efficient minimization of convex surrogates in supervised learning. ICPR 2008: 1-4 - [c40]Frank Nielsen, Richard Nock:
Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states. ISIT 2008: 96-100 - [c39]Richard Nock, Frank Nielsen:
On the Efficient Minimization of Classification Calibrated Surrogates. NIPS 2008: 1201-1208 - [i5]Richard Nock, Nicolas Sanz, Fred Celimene, Frank Nielsen:
Staring at Economic Aggregators through Information Lenses. CoRR abs/0801.0390 (2008) - [i4]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
- [j19]Richard Nock, Frank Nielsen:
A Real generalization of discrete AdaBoost. Artif. Intell. 171(1): 25-41 (2007) - [j17]Richard Nock, Frank Nielsen:
Self-improved gaps almost everywhere for the agnostic approximation of monomials. Theor. Comput. Sci. 377(1-3): 139-150 (2007) - [c38]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
Visualizing bregman voronoi diagrams. SCG 2007: 121-122 - [c37]Claudia Henry, Richard Nock, Frank Nielsen:
Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. IJCAI 2007: 842-847 - [c36]Frank Nielsen, Richard Nock:
Fast Graph Segmentation Based on Statistical Aggregation Phenomena. MVA 2007: 150-153 - [c33]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
On Bregman Voronoi diagrams. SODA 2007: 746-755 - [i3]Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock:
Bregman Voronoi Diagrams: Properties, Algorithms and Applications. CoRR abs/0709.2196 (2007) - [i2]Frank Nielsen, Richard Nock:
On the Centroids of Symmetrized Bregman Divergences. CoRR abs/0711.3242 (2007) - 2006
- [j16]Richard Nock, Frank Nielsen:
On Weighting Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1223-1235 (2006) - [c32]Frank Nielsen, Richard Nock:
On the Smallest Enclosing Information Disk. CCCG 2006 - [c31]Frank Nielsen, Richard Nock:
On approximating the smallest enclosing Bregman Balls. SCG 2006: 485-486 - [c30]Richard Nock, Frank Nielsen:
A Real Generalization of Discrete AdaBoost. ECAI 2006: 509-515 - [c29]Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry:
Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. ECAI 2006: 823-824 - 2005
- [j15]Frank Nielsen, Richard Nock:
A fast deterministic smallest enclosing disk approximation algorithm. Inf. Process. Lett. 93(6): 263-268 (2005) - [j14]Richard Nock, Frank Nielsen:
Semi-supervised statistical region refinement for color image segmentation. Pattern Recognit. 38(6): 835-846 (2005) - [c25]Frank Nielsen, Richard Nock:
Interactive Pinpoint Image Object Removal. CVPR (2) 2005: 1191 - [c24]Richard Nock, Frank Nielsen:
Fitting the Smallest Enclosing Bregman Ball. ECML 2005: 649-656 - [c22]Frank Nielsen, Richard Nock:
Interactive Point-and-Click Segmentation for Object Removal in Digital Images. ICCV-HCI 2005: 131-140 - [c21]Frank Nielsen, Richard Nock:
ClickRemoval: interactive pinpoint image object removal. ACM Multimedia 2005: 315-318 - 2004
- [j12]Richard Nock, Frank Nielsen:
Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1452-1458 (2004) - [j11]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) - [c19]Frank Nielsen, Richard Nock:
Approximating smallest enclosing disks. CCCG 2004: 124-127 - [c18]Richard Nock, Frank Nielsen:
Grouping with Bias Revisited. CVPR (2) 2004: 460-465 - [c17]Frank Nielsen, Richard Nock:
Approximating Smallest Enclosing Balls. ICCSA (3) 2004: 147-157 - [c16]Richard Nock, Frank Nielsen:
Improving Clustering Algorithms through Constrained Convex Optimization. ICPR (4) 2004: 557-560 - [c15]Richard Nock, Frank Nielsen:
An Abstract Weighting Framework for Clustering Algorithms. SDM 2004: 200-209 - 2003
- [j9]Matthew J. Katz, Frank Nielsen, Michael Segal:
Maintenance of a Piercing Set for Intervals with Applications. Algorithmica 36(1): 59-73 (2003) - [c14]Frank Nielsen, Richard Nock:
On Region Merging: The Statistical Soundness of Fast Sorting, with Applications. CVPR (2) 2003: 19-26 - 2000
- [j4]Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir:
Dynamic data structures for fat objects and their applications. Comput. Geom. 15(4): 215-227 (2000) - [c9]Matthew J. Katz, Frank Nielsen, Michael Segal:
Maintenance of a Percing Set for Intervals with Applications. ISAAC 2000: 552-563 - [i1]Matthew J. Katz, Frank Nielsen, Michael Segal:
Shooter Location through Piercing Sets. EuroCG 2000: 55-58 - 1998
- [j2]Frank Nielsen, Mariette Yvinec:
Output-Sensitive Convex Hull Algorithms of Planar Convex Objects. Int. J. Comput. Geom. Appl. 8(1): 39-66 (1998) - 1997
- [c3]Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir:
Dynamic Data Structures for Fat Objects and Their Applications. WADS 1997: 297-306 - 1996
- [c1]Matthew J. Katz, Frank Nielsen:
On Piercing Sets of Objects. SCG 1996: 113-121
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