Sciweavers

1176 search results - page 65 / 236
» Sparse reward processes
Sort
View
CCIW
2011
Springer
14 years 7 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
TSMC
2008
162views more  TSMC 2008»
15 years 3 months ago
Real-Time Motion Segmentation of Sparse Feature Points at Any Speed
Abstract--We present a real-time incremental approach to motion segmentation operating on sparse feature points. In contrast to previous work, the algorithm allows for a variable n...
Shrinivas J. Pundlik, Stanley T. Birchfield
122
Voted
ICIP
2008
IEEE
16 years 5 months ago
Sparse orthonormal transforms for image compression
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
ICASSP
2010
IEEE
15 years 4 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
CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 4 months ago
LSMR: An iterative algorithm for sparse least-squares problems
Abstract. An iterative method LSMR is presented for solving linear systems Ax = b and leastsquares problem min Ax - b 2, with A being sparse or a fast linear operator. LSMR is base...
David Fong, Michael Saunders