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DCC
2000
IEEE
13 years 9 months ago
The Skip-Innovation Model for Sparse Images
On sparse images, contiguous runs of identical symbols often occur in the same coding context. This paper proposes a model for efficiently encoding such runs in a twodimensional s...
Paul J. Ausbeck Jr.
ICASSP
2011
IEEE
12 years 8 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
TIP
2010
312views more  TIP 2010»
13 years 3 months ago
A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Chenlei Guo, Liming Zhang
SCALESPACE
2007
Springer
13 years 11 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
CORR
2011
Springer
210views Education» more  CORR 2011»
12 years 12 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro