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» The Generalized Dimensionality Reduction Problem
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ICASSP
2010
IEEE
14 years 10 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
GLVLSI
2006
IEEE
142views VLSI» more  GLVLSI 2006»
15 years 3 months ago
Dynamic instruction schedulers in a 3-dimensional integration technology
We present the design of high-performance and energy-efficient dynamic instruction schedulers in a 3-Dimensional integration technology. Based on a previous observation that the c...
Kiran Puttaswamy, Gabriel H. Loh
FSTTCS
2000
Springer
15 years 1 months ago
Coordinatized Kernels and Catalytic Reductions: An Improved FPT Algorithm for Max Leaf Spanning Tree and Other Problems
Abstract. We describe some new, simple and apparently general methods for designing FPT algorithms, and illustrate how these can be used to obtain a signi cantly improved FPT algor...
Michael R. Fellows, Catherine McCartin, Frances A....
ECCV
2006
Springer
15 years 11 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
91
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PRL
2010
188views more  PRL 2010»
14 years 8 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan