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» On sparse signal representations
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IROS
2009
IEEE
142views Robotics» more  IROS 2009»
16 years 20 days 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
ICIP
2009
IEEE
16 years 7 months ago
Color De-quantizing Through Iterated Dynamic Hard Thresholding On An Overcomplete Representation
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...
TKDE
2010
251views more  TKDE 2010»
15 years 22 days ago
Exploring Correlated Subspaces for Efficient Query Processing in Sparse Databases
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
Bin Cui, Jiakui Zhao, Dongqing Yang
SDM
2011
SIAM
370views Data Mining» more  SDM 2011»
14 years 8 months 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....
ICIP
2009
IEEE
16 years 7 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...