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» Constraint Solving for Interpolation
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115
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ICCAD
2009
IEEE
117views Hardware» more  ICCAD 2009»
14 years 10 months ago
Binning optimization based on SSTA for transparently-latched circuits
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
Min Gong, Hai Zhou, Jun Tao, Xuan Zeng
140
Voted
SIAMIS
2011
14 years 7 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
CRV
2011
IEEE
352views Robotics» more  CRV 2011»
14 years 18 days ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
252
Voted

Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
115
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ICCV
2009
IEEE
1655views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Shift-Map Image Editing
Geometric rearrangement of images includes operations such as image retargeting, inpainting, or object rearrangement. Each such operation can be characterized by a shiftmap: the...
Yael Pritch, Eitam Kav-Venaki, Shmuel Peleg