John Aldo Lee

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)

John Aldo Lee, Michel Verleysen: Shift-invariant similarities circumvent distance concentration in stochastic neighbor embedding and variants. Procedia CS 4: 538-547 (2011)

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)

John Aldo Lee, Michel Verleysen: Scale-independent quality criteria for dimensionality reduction. Pattern Recognition Letters 31(14): 2248-2257 (2010)

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

Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee: Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN 2010

John Aldo Lee, Michel Verleysen: Unsupervised dimensionality reduction: Overview and recent advances. IJCNN 2010: 1-8

Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen: Dimensionality reduction by rank preservation. IJCNN 2010: 1-8

John Aldo Lee, Michel Verleysen: Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing 72(7-9): 1431-1443 (2009)

Arnaud de Decker, John Aldo Lee, Michel Verleysen: Patch-based bilateral filter and local m-smoother for image denoising. ESANN 2009

John Aldo Lee, Arnaud de Decker, Michel Verleysen: Adaptive anisotropic denoising: a bootstrapped procedure. ESANN 2009

John Aldo Lee, Michel Verleysen: Simbed: Similarity-Based Embedding. ICANN (2) 2009: 95-104

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)

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)

John Aldo Lee, Michel Verleysen: Rank-based quality assessment of nonlinear dimensionality reduction. ESANN 2008: 49-54

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)

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)

Geoffroy Simon, John Aldo Lee, Michel Verleysen: Unfolding preprocessing for meaningful time series clustering. Neural Networks 19(6-7): 877-888 (2006)

John Aldo Lee, Frédéric Vrins, Michel Verleysen: Non-orthogonal Support Width ICA. ESANN 2006: 351-358

John Aldo Lee, Michel Verleysen: Nonlinear dimensionality reduction of data manifolds with essential loops. Neurocomputing 67: 29-53 (2005)

Frédéric Vrins, John Aldo Lee, Michel Verleysen: Filtering-Free Blind Separation of Correlated Images. IWANN 2005: 1091-1099

John Aldo Lee, Amaury Lendasse, Michel Verleysen: Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. Neurocomputing 57: 49-76 (2004)

John Aldo Lee, Michel Verleysen: How to project `circular' manifolds using geodesic distances? ESANN 2004: 223-230

John Aldo Lee, Christian Jutten, Michel Verleysen: Non-linear ICA by Using Isometric Dimensionality Reduction. ICA 2004: 710-717

Cédric Archambeau, John Aldo Lee, Michel Verleysen: On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. ESANN 2003: 99-106

John Aldo Lee, Cédric Archambeau, Michel Verleysen: Locally Linear Embedding versus Isotop. ESANN 2003: 527-534

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)

John Aldo Lee, Michel Verleysen: Self-organizing maps with recursive neighborhood adaptation. Neural Networks 15(8-9): 993-1003 (2002)

John Aldo Lee, Amaury Lendasse, Michel Verleysen: Curvilinear Distance Analysis versus Isomap. ESANN 2002: 185-192

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

John Aldo Lee, Michel Verleysen: Nonlinear Projection with the Isotop Method. ICANN 2002: 933-938

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

John Aldo Lee, Amaury Lendasse, Nicolas Donckers, Michel Verleysen: A robust non-linear projection method. ESANN 2000: 13-20

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