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» Data Separation by Sparse Representations
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SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
13 years 27 days ago
Sparse Latent Semantic Analysis
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
DAGSTUHL
2007
13 years 11 months ago
Nonlinear Approximation and Image Representation using Wavelets
We address the problem of finding sparse wavelet representations of high-dimensional vectors. We present a lower-bounding technique and use it to develop an algorithm for computi...
Sudipto Guha, Boulos Harb
CORR
2011
Springer
209views Education» more  CORR 2011»
13 years 1 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
14 years 4 months ago
Reduced state representation in delayed-state SLAM
— This paper introduces an approach that reduces the size of the state and maximizes the sparsity of the information matrix in exactly sparse delayed-state SLAM. We propose const...
Viorela Ila, Josep M. Porta, Juan Andrade-Cetto
ARCS
2005
Springer
14 years 3 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...