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141
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IJCV
2010
158views more  IJCV 2010»
14 years 11 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
CVPR
2011
IEEE
14 years 9 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
103
Voted
BMCBI
2006
123views more  BMCBI 2006»
15 years 24 days ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
95
Voted
MICRO
2008
IEEE
137views Hardware» more  MICRO 2008»
15 years 21 days ago
Verification of chip multiprocessor memory systems using a relaxed scoreboard
Verification of chip multiprocessor memory systems remains challenging. While formal methods have been used to validate protocols, simulation is still the dominant method used to ...
Ofer Shacham, Megan Wachs, Alex Solomatnikov, Amin...
SIGMETRICS
2010
ACM
152views Hardware» more  SIGMETRICS 2010»
14 years 11 months ago
A fluid approximation for large-scale service systems
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Yunan Liu, Ward Whitt