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» Sparse representation of images with hybrid linear models
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PREMI
2009
Springer
15 years 4 months ago
A Bayesian Approach to Hybrid Image Retrieval
Content based image retrieval (CBIR) has been well studied in the computer vision and multimedia community. Content free image retrieval (CFIR) methods, and their complementary cha...
Pradhee Tandon, C. V. Jawahar
ICIAP
2007
ACM
15 years 9 months ago
Interval-Based Linear Hybrid Dynamical System for Modeling Cross-Media Timing Structures in Multimedia Signals
In this paper, we propose a computational scheme named an interval-based linear hybrid dynamical system (ILHDS) to represent complex dynamic events based on temporal intervals, ea...
Hiroaki Kawashima, Takashi Matsuyama
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 9 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
ICIP
2010
IEEE
14 years 7 months ago
Affine-invariant modeling of shape-appearance images applied on sign language handshape classification
We propose a novel affine-invariant modeling of hand shapeappearance images, which offers a compact and descriptive representation of the hand configurations. Our approach combine...
Anastasios Roussos, Stavros Theodorakis, Vassilis ...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 9 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...