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
© 2011 Department of Mathematics, City University of Hong Kong. All Rights Reserved.