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» Fast Optimization for Mixture Prior Models
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ICPR
2006
IEEE
14 years 8 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
DAC
2003
ACM
14 years 27 days ago
Instruction set compiled simulation: a technique for fast and flexible instruction set simulation
Instruction set simulators are critical tools for the exploration and validation of new programmable architectures. Due to increasing complexity of the architectures and timeto-ma...
Mehrdad Reshadi, Prabhat Mishra, Nikil D. Dutt
IOR
2010
114views more  IOR 2010»
13 years 6 months ago
Inventory Management of a Fast-Fashion Retail Network
Working in collaboration with Spain-based retailer Zara, we address the problem of distributing over time a limited amount of inventory across all the stores in a fast-fashion ret...
Felipe Caro, Jérémie Gallien
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 7 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk