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130
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CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
15 years 8 months ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
132
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DAC
2010
ACM
15 years 7 months ago
Performance yield-driven task allocation and scheduling for MPSoCs under process variation
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...
Lin Huang, Qiang Xu
110
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TIT
2010
100views Education» more  TIT 2010»
14 years 10 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
115
Voted
CVGIP
2006
138views more  CVGIP 2006»
15 years 3 months ago
Animal gaits from video: Comparative studies
We present a method for animating 3D models of animals from existing live video sequences such as wild life documentaries. Videos are first segmented into binary images on which p...
Laurent Favreau, Lionel Revéret, Christine ...
JAIR
2008
148views more  JAIR 2008»
15 years 3 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang