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» Sparse Higher-Order Principal Components Analysis
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ICIP
2009
IEEE
13 years 7 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
MM
2005
ACM
175views Multimedia» more  MM 2005»
14 years 3 months ago
Towards context-aware face recognition
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
ICASSP
2011
IEEE
13 years 1 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce
CVPR
2011
IEEE
13 years 5 months ago
Accelerated Low-Rank Visual Recovery by Random Projection
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan
ISBI
2004
IEEE
14 years 10 months ago
Bone Model Morphing for Enhanced Surgical Visualization
We propose a novel method for reconstructing a complete 3D model of a given anatomy from minimal information. This reconstruction provides an appropriate intra-operative 3D visual...
Kumar T. Rajamani, Martin Styner, Sarang C. Joshi