Plenary Speakers     Invited Speakers     Contributed Speakers

Tony Chan Department of Mathematics / Office of The President The Hong Kong University of Science and Technology Hong Kong Images, PDEs and Wavelets Charles Chui Department of Mathematics and Computer Science University of Missouri – St. Louis USA Manifold Approach to Processing High-Dimensional Complex Data Albert Cohen Laboratoire Jacques-Louis Lions Université Pierre et Marie Curie (Paris VI) France High Dimensional Sparse Approximation Douglas Hardin Department of Mathematics Vanderbilt University USA Discretizing Compact Manifolds with Minimum Energy Olga Holtz Department of Mathematics University of California, Berkeley USA Group-theoretic Methods in Linear Algebra and Signal Processing Charles Micchelli Department of Mathematics City University of Hong Kong Hong Kong The Bedrosian Identity for Functions Analytic in a Neighborhood of the Unit Circle Stanley Osher Institute for Pure and Applied Mathematics University of California, Los Angeles USA New Algorithms in Information Science Tomaso Poggio Department of Brain and Cognitive Sciences Massachusetts Institute of Technology USA The Hierarchical Recognition Architecture of Visual Cortex: Learning and Discounting Transformations Zongmin Wu School of Mathematical Sciences Fudan University China On the Different Kind of Quasi-interpolation

Akram Aldroubi Department of Mathematics Vanderbilt University USA On the Existence of Optimal Unions of Subspaces for Data Modeling and Clustering Mikhail Belkin Department of Computer Science and Engineering The Ohio State University USA Learning Mixtures of Gaussians in High Dimension Xavier Bresson Department of Computer Science City University of Hong Kong Hong Kong Cheeger Cuts and Total Variation Andrea Caponnetto Department of Mathematics City University of Hong Kong Hong Kong Error Bound Stability in Statistical Learning Theory Raymond Chan Department of Mathematics The Chinese University of Hong Kong Hong Kong Framelet-Based Algorithm for Segmentation of Tubular Structures Frédéric Chazal Saclay – Île-de-France Institut National de Recherche en Informatique et en Automatique (INRIA) France Surface Segmentation Using Heat Kernel Signature and Topological Persistence Di-Rong Chen Department of Applied Mathematics Beijing University of Aeronautics and Astronautics China Convergence of Regularized Laplacian Eigenmaps Daoqing Dai School of Mathematics and Computational Science Sun Yat-sen University China Framelet Based Image Understanding Vin de Silva Department of Mathematics Pomona College USA Harmonic Forms in Topological Data Analysis Bin Han Department of Mathematical and Statistical Sciences University of Alberta Canada Some Developments on Wavelets and Framelets Armin Iske Department of Mathematics University of Hamburg Germany Sparse Geometric Image Approximation by Linear Splines over Anisotropic Triangulations Rong-Qing Jia Department of Mathematical and Statistical Sciences University of Alberta Canada Unconditional Convergence and Unconditional Bases Seng Luan Lee Department of Mathematics National University of Singapore Singapore Approximation, Scale-space and Wavelets Shidong Li Department of Mathematics San Francisco State University USA A Sparse Dual Frame Approach to Compressed Sensing with General Frames Song Li Department of Mathematics Zhejiang University China Some New Results on RIP for Sparse Signal Recovery in Compressed Sensing Lek-Heng Lim Department of Statistics University of Chicago USA Harmonic Analysis on Symmetric Tensors and Neuroimaging Mauro Maggioni Department of Mathematics / Department of Computer Science Duke University USA Multiscale Geometric Methods for Noisy Point Clouds in High Dimensions Sayan Mukherjee Department of Statistical Science Duke University USA Towards Stratification Learning through Homology Inference Michael Ng Department of Mathematics Hong Kong Baptist University Hong Kong On Algorithms for Automatic Deblurring from a Single Image Gerlind Plonka Institute for Numerical and Applied Mathematics University of Göttingen Germany Adaptive Wavelet Methods for the Efficient Approximation of Images Massimiliano Pontil Department of Computer Science University College London UK A Family of Penalty Functions for Structured Sparsity Alexander Powell Department of Mathematics Vanderbilt University USA Sigma-Delta Quantization for Compressed Sensing Measurements Lorenzo Rosasco McGovern Institute for Brain Research Massachusetts Institute of Technology USA Spectral Methods for Computational Learning Lixin Shen Department of Mathematics Syracuse University USA Proximity Algorithms for Total-Variation Based Image Models Nathan Smale Department of Mathematics University of Utah USA Abstract and Classical Hodge-De Rham Theory Ingo Steinwart Department of Mathematics University of Stuttgart Germany Statistical Learning with Kernels Jiachang Sun Institute of Software Chinese Academy of Sciences China On Structure of PDE Eigen-Polynomials over Some Curved Domains Wenchang Sun Department of Mathematics Nankai University China Inversion Formulae for the Wavelet and Windowed Fourier Transforms Johan Suykens Department of Electrical Engineering Katholieke Universiteit Leuven Belgium Kernel Spectral Clustering: Model Representations, Sparsity and Out-of-sample Extensions Alexandre Tsybakov Laboratoire de Statistique Centre de Recherche en Economie et en Statistique (CREST) France Optimal Methods of Noisy Matrix Completion Alessandro Verri Department of Computer and Information Science University of Genoa Italy A Regularization Approach to Nonlinear Variable Selection Jianzhong Wang Department of Mathematics and Statistics Sam Houston State University USA Randomized Anisotropic Transform Associated with Isomaps Yang Wang Department of Mathematics Michigan State University USA Blind Source Separation in Audio Holger Wendland Mathematical Institute Oxford University UK Meshfree Approximation and Dynamical Systems Qiang Wu Department of Mathematics Michigan State University USA Learning with Indefinite Kernels Yuesheng Xu Department of Mathematics Syracuse University USA Proximity Algorithms for Regularization Problems of Complex Systems Lihua Yang School of Mathematics and Computational Science Sun Yat-sen University China Solutions to Some Mathematical Problems on Empirical Mode Decomposition Yuan Yao School of Mathematical Sciences Peking University China Hodge Decomposition on Random Graphs Yiming Ying School of Engineering, Computing and Mathematics University of Exeter UK Metric Learning with Eigenvalue Optimization Haomin Zhou School of Mathematics Georgia Institute of Technology USA Fast Numerical Methods for Forward and Inverse Helmholtz Equations with Stochastic Sources and Applications

Ning Bi Sun Yat-sen University China A Class of Compactly Supported Refinable Componentwise Constant Function in $R^2$ Jia Cai Guangdong University of Business Studies China Convergence Rate of Kernel Canonical Correlation Analysis Jiansong Deng University of Science and Technology of China China Isogeometric Analysis with Splines over T-meshes Binod Dhakal Tribhuvan University Nepal Approximation of the Conjugate of Functions Belonging to Lipschitz Class by $(N,p_n) (C,1)$ Method Yunlong Feng University of Science and Technology of China China / City University of Hong Kong Learning via Elastic-Net Regularization with Data Dependent Hypothesis Spaces Rejoyce Gavhi Stellenbosch University South Africa Interpolatory Subdivision Schemes with Fractal Limit Curves Xin Guo City University of Hong Kong An Empirical Feature-based Learning Algorithm Producing Sparse Approximations Zheng-Chu Guo Sun Yat-sen University China / City University of Hong Kong Concentration Estimates for Learning with Unbounded Sampling Ting Hu Wuhan University China Online Learning with Non-Identical Sampling Processes Erik Koelink Radboud Universiteit Nijmegen Netherlands Matrix-valued Spherical Functions Related to $(SU(2)\times SU(2), SU(2))$ Hong Li Huazhong University of Science and Technology China Hierarchical Feature Extraction with Sparseness Constraint Huiyuan Li Chinese Academy of Sciences China Fast Fourier Transform on Hexagonal Lattices Luoqing Li Hubei University China Template Selection in Derived Kernel for Object Recognition Yun-Zhang Li Beijing University of Technology China Gabor Analysis on Discrete Periodic Sets Youming Liu Beijing University of Technology China Convergence of Wavelet Estimators and Applications to Estimations for Density Derivatives Shaogao Lv University of Science and Technology of China China / City University of Hong Kong Integral Operator Approach to Learning Theory with Unbounded Sampling Limin Ma Zhejiang Gongshang University China Some Results on Multiquadric Quasi-interpolation Tiebin Mi Renmin University of China China A Null Space Tuning Algorithm for Sparse Representation Qun Mo Zhejiang University China Some New Bounds of the R.I.C. in Compressed Sensing Isaac Pesenson Temple University USA Approximation of Eigenvalues and Eigenfunctions on Combinatorial Graphs Yi Shen Zhejiang University China Remarks on Orthogonal Matching Pursuit Baohuai Sheng Shaoxing College of Arts and Science China On a Remark by Smale and Zhou Lei Shi City University of Hong Kong Concentration Estimates for Learning with ${\ell}^1$-Regularizer and Data Dependent Hypothesis Spaces Hongwei Sun University of Jinan China Coefficient Regularization in Least Square Kernel Regression Wai-Shing Tang National University of Singapore Singapore Topological and Geometric Properties of Refinable Functions and MRA Affine Frames Rinske Van der Bijl Stellenbosch University South Africa Bivariate Wavelet Construction Based on Solutions of Algebraic Polynomial Identities Cheng Wang Guangxi Normal University China ERM Learning with Unbounded and Non-identical Sampling Zhiqiang Xu Chinese Academy of Sciences China Deterministic Sampling of Sparse Trigonometric Polynomials Peixin Ye Nankai University China Greedy Approximation with Regard to Non-greedy Bases Haizhang Zhang Sun Yat-sen University China On the Inclusion Relation of Reproducing Kernel Hilbert Spaces Bin Zou Hubei University China The Learning Performance of Support Vector Machine Classification Based on Markov Sampling

Last update: 16 May 2011

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