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» Wavelet based preconditioners for sparse linear systems
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CVPR
2009
IEEE
15 years 1 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
TSP
2010
14 years 4 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
TRECVID
2007
14 years 10 months ago
Experimenting VIREO-374: Bag-of-Visual-Words and Visual-Based Ontology for Semantic Video Indexing and search
In this paper, we present our approaches and results of high-level feature extraction and automatic video search in TRECVID-2007. In high-level feature extraction, our main focus ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Feng ...
CORR
2010
Springer
96views Education» more  CORR 2010»
14 years 9 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
TIT
2010
174views Education» more  TIT 2010»
14 years 4 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...