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SCALESPACE
2007
Springer
15 years 10 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
ICASSP
2008
IEEE
15 years 10 months ago
Compressive coded aperture superresolution image reconstruction
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...
Roummel F. Marcia, Rebecca Willett
GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
15 years 8 months ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
120
Voted
JPDC
2006
134views more  JPDC 2006»
15 years 4 months ago
Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs
Minimum Spanning Tree (MST) is one of the most studied combinatorial problems with practical applications in VLSI layout, wireless communication, and distributed networks, recent ...
David A. Bader, Guojing Cong
149
Voted
ACCV
2006
Springer
15 years 10 months ago
Inverse Volume Rendering Approach to 3D Reconstruction from Multiple Images
This paper presents a method of image-based 3D modeling for intricately-shaped objects, such as a fur, tree leaves and human hair. We formulate the imaging process of these small g...
Shuntaro Yamazaki, Masaaki Mochimaru, Takeo Kanade