John Aldo Lee

	2011
34		Arnaud de Decker, Damien François, Michel Verleysen, John Aldo Lee: Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising. Neurocomputing 74(9): 1402-1410 (2011)
33		John Aldo Lee, Michel Verleysen: Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. Procedia CS 4: 538-547 (2011)
	2010
32		Arnaud de Decker, John Aldo Lee, Damien François, Michel Verleysen: Mode estimation in high-dimensional spaces with flat-top kernels: application to image denoising. ESANN 2010
31		Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee: Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010
30		Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen: Dimensionality reduction by rank preservation. IJCNN 2010: 1-8
29		John Aldo Lee, Michel Verleysen: Unsupervised dimensionality reduction: Overview and recent advances. IJCNN 2010: 1-8
28		Arnaud de Decker, John Aldo Lee, Michel Verleysen: A principled approach to image denoising with similarity kernels involving patches. Neurocomputing 73(7-9): 1199-1209 (2010)
27		John Aldo Lee, Michel Verleysen: Scale-independent quality criteria for dimensionality reduction. Pattern Recognition Letters 31(14): 2248-2257 (2010)
	2009
26		John Aldo Lee, Arnaud de Decker, Michel Verleysen: Adaptive anisotropic denoising: a bootstrapped procedure. ESANN 2009
25		Arnaud de Decker, John Aldo Lee, Michel Verleysen: Patch-based bilateral filter and local m-smoother for image denoising. ESANN 2009
24		John Aldo Lee, Michel Verleysen: Simbed: Similarity-Based Embedding. ICANN (2) 2009: 95-104
23		John Aldo Lee, Michel Verleysen: Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72(7-9): 1431-1443 (2009)
	2008
22		John Aldo Lee, Michel Verleysen: Rank-based quality assessment of nonlinear dimensionality reduction. ESANN 2008: 49-54
21		John Aldo Lee, Michel Verleysen: Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods. Journal of Machine Learning Research - Proceedings Track 4: 21-35 (2008)
20		John Aldo Lee, Frédéric Vrins, Michel Verleysen: Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. Neurocomputing 72(1-3): 47-56 (2008)
	2007
19		Frédéric Vrins, John Aldo Lee, Michel Verleysen: A Minimum-Range Approach to Blind Extraction of Bounded Sources. IEEE Transactions on Neural Networks 18(3): 809-822 (2007)
18		Geoffroy Simon, John Aldo Lee, Marie Cottrell, Michel Verleysen: Forecasting the CATS benchmark with the Double Vector Quantization method. Neurocomputing 70(13-15): 2400-2409 (2007)
	2006
17		John Aldo Lee, Frédéric Vrins, Michel Verleysen: Non-orthogonal Support Width ICA. ESANN 2006: 351-358
16		Geoffroy Simon, John Aldo Lee, Michel Verleysen: Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006)
	2005
15		Frédéric Vrins, John Aldo Lee, Michel Verleysen: Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099
14		John Aldo Lee, Michel Verleysen: Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005)
	2004
13		John Aldo Lee, Michel Verleysen: How to project `circular' manifolds using geodesic distances? ESANN 2004: 223-230
12		John Aldo Lee, Christian Jutten, Michel Verleysen: Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717
11		John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)
	2003
10		John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534
9		Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106
	2002
8		John Aldo Lee, Amaury Lendasse, Michel Verleysen: Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192
7		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
6		John Aldo Lee, Michel Verleysen: Nonlinear Projection with the Isotop Method. ICANN 2002: 933-938
5		John Aldo Lee, Michel Verleysen: Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002)
4		Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Forecasting electricity consumption using nonlinear projection and self-organizing maps. Neurocomputing 48(1-4): 299-311 (2002)
	2001
3		Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen: Input data reduction for the prediction of financial time series. ESANN 2001: 237-244
	2000
2		John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20
1		Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen: Time series forecasting using CCA and Kohonen maps - application to electricity consumption. ESANN 2000: 329-334

Coauthor Index

1	Cédric Archambeau	[7] [9] [10]
2	Michaël Aupetit	[31]
3	Nabil Benoudjit	[7]
4	Eric de Bodt	[3]
5	Marie Cottrell	[18]
6	Arnaud de Decker	[25] [26] [28] [32] [34]
7	Nicolas Donckers	[2]
8	Damien François	[32] [34]
9	Christian Jutten	[12]
10	Amaury Lendasse	[1] [2] [3] [4] [7] [8] [11]
11	Victor Onclinx	[30]
12	Geoffroy Simon	[16] [18]
13	Michel Verleysen	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34]
14	Frédéric Vrins	[15] [17] [19] [20]
15	Vincent Wertz	[1] [3] [4] [30]
16	Axel Wismüller	[31]

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page