Cédric Archambeau

2008
21	EE	François-Xavier Standaert, Cédric Archambeau: Using Subspace-Based Template Attacks to Compare and Combine Power and Electromagnetic Information Leakages. CHES 2008: 411-425
20	EE	Cédric Archambeau, Francis Bach: Sparse probabilistic projections. NIPS 2008: 73-80
19	EE	Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Improving the Robustness to Outliers of Mixtures of Probabilistic PCAs. PAKDD 2008: 527-535
18	EE	Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. Neurocomputing 71(7-9): 1274-1282 (2008)
2007
17	EE	Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Mixtures of robust probabilistic principal component analyzers. ESANN 2007: 229-234
16	EE	Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford, John Shawe-Taylor: Variational Inference for Diffusion Processes. NIPS 2007
15	EE	Cédric Archambeau, Michel Verleysen: Robust Bayesian clustering. Neural Networks 20(1): 129-138 (2007)
2006
14	EE	Cédric Archambeau, Eric Peeters, François-Xavier Standaert, Jean-Jacques Quisquater: Template Attacks in Principal Subspaces. CHES 2006: 1-14
13	EE	François-Xavier Standaert, Eric Peeters, Cédric Archambeau, Jean-Jacques Quisquater: Towards Security Limits in Side-Channel Attacks. CHES 2006: 30-45
12	EE	Cédric Archambeau, Nicolas Delannay, Michel Verleysen: Robust probabilistic projections. ICML 2006: 33-40
11	EE	Nicolas Delannay, Cédric Archambeau, Michel Verleysen: Automatic Adjustment of Discriminant Adaptive Nearest Neighbor. ICPR (2) 2006: 552-535
10	EE	Cédric Archambeau, M. Valle, A. Assenza, Michel Verleysen: Assessment of probability density estimation methods: Parzen window and finite Gaussian mixtures. ISCAS 2006
2005
9	EE	Cédric Archambeau, Michel Verleysen: Manifold Constrained Variational Mixtures. ICANN (2) 2005: 279-284
8	EE	Cédric Archambeau, Michel Verleysen: Manifold Constrained Finite Gaussian Mixtures. IWANN 2005: 820-828
2004
7	EE	Frédéric Vrins, Cédric Archambeau, Michel Verleysen: Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? ESANN 2004: 211-216
6	EE	Cédric Archambeau, Frédéric Vrins, Michel Verleysen: Flexible and Robust Bayesian Classification by Finite Mixture Models. ESANN 2004: 75-80
5	EE	Cédric Archambeau, Torsten Butz, Vlad Popovici, Michel Verleysen, Jean-Philippe Thiran: Supervised Nonparametric Information Theoretic Classification. ICPR (3) 2004: 414-417
4	EE	Cédric Archambeau, Jean Delbeke, Claude Veraart, Michel Verleysen: Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artificial Intelligence in Medicine 32(3): 183-194 (2004)
2003
3	EE	John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534
2	EE	Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106
2002
1		Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen: Width optimization of the Gaussian kernels in Radial Basis Function Networks. ESANN 2002: 425-432

Coauthor Index

1	A. Assenza	[10]
2	Francis R. Bach (Francis Bach)	[20]
3	Nabil Benoudjit	[1]
4	Torsten Butz	[5]
5	Dan Cornford	[16]
6	Nicolas Delannay	[11] [12] [17] [18] [19]
7	Jean Delbeke	[4]
8	John Aldo Lee	[1] [2] [3]
9	Amaury Lendasse	[1]
10	Manfred Opper	[16]
11	Eric Peeters	[13] [14]
12	Vlad Popovici	[5]
13	Jean-Jacques Quisquater	[13] [14]
14	John Shawe-Taylor	[16]
15	Yuan Shen	[16]
16	François-Xavier Standaert	[13] [14] [21]
17	Jean-Philippe Thiran	[5]
18	M. Valle	[10]
19	Claude Veraart	[4]
20	Michel Verleysen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [15] [17] [18] [19]
21	Frédéric Vrins	[6] [7]

Colors in the list of coauthors