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TSMC
2010
13 years 3 months ago
Distance Approximating Dimension Reduction of Riemannian Manifolds
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
Changyou Chen, Junping Zhang, Rudolf Fleischer
IJCAI
2007
13 years 9 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
SIAMSC
2008
127views more  SIAMSC 2008»
13 years 8 months ago
Restoration of Chopped and Nodded Images by Framelets
In infrared astronomy, an observed image from a chop and nod process can be considered as the result of passing the original image through a highpass filter. Here we propose a rest...
Jian-Feng Cai, Raymond H. Chan, Lixin Shen, Zuowei...
CORR
2010
Springer
90views Education» more  CORR 2010»
13 years 8 months ago
New Criteria for Iterative Decoding
Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate...
Florence Alberge, Ziad Naja, Pierre Duhamel
TSP
2008
91views more  TSP 2008»
13 years 8 months ago
Nonlinear and Nonideal Sampling: Theory and Methods
We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
Tsvi G. Dvorkind, Yonina C. Eldar, Ewa Matusiak