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CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 6 months ago
Real-time Robust Principal Components' Pursuit
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
Chenlu Qiu, Namrata Vaswani
ICASSP
2011
IEEE
13 years 1 months ago
Focuss is a convex-concave procedure
We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component ...
Mashud Hyder, Kaushik Mahata
GRAPHITE
2006
ACM
14 years 4 months ago
GPU-based rendering of sparse low-degree implicit surfaces
Implicit surface is a well-known surface representation. Geometric details of an object can be represented using less surface primitives than other representations such as polygon...
Takashi Kanai, Yutaka Ohtake, Hiroaki Kawata, Kiwa...
CVPR
2008
IEEE
15 years 2 days ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICML
2007
IEEE
14 years 11 months ago
Bayesian compressive sensing and projection optimization
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Shihao Ji, Lawrence Carin