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» The Computational Complexity of Linear Optics
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141
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DCOSS
2008
Springer
15 years 5 months ago
Energy-Efficient Task Mapping for Data-Driven Sensor Network Macroprogramming
Data-driven macroprogramming of wireless sensor networks (WSNs) provides an easy to use high-level task graph representation to the application developer. However, determining an e...
Animesh Pathak, Viktor K. Prasanna
152
Voted
ICML
2010
IEEE
15 years 5 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
DATAMINE
2006
166views more  DATAMINE 2006»
15 years 4 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
TCSV
2010
14 years 10 months ago
Action Detection in Cluttered Video With Successive Convex Matching
We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and specific actions are de...
Hao Jiang, Mark S. Drew, Ze-Nian Li
ICCV
2009
IEEE
16 years 9 months ago
Sparse Representation of Cast Shadows via L1-Regularized Least Squares
Scenes with cast shadows can produce complex sets of images. These images cannot be well approximated by lowdimensional linear subspaces. However, in this paper we show that the...
Xue Mei, Haibin Ling, David W. Jacobs