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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 9 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
JPDC
2006
111views more  JPDC 2006»
14 years 9 months ago
Designing irregular parallel algorithms with mutual exclusion and lock-free protocols
Irregular parallel algorithms pose a significant challenge for achieving high performance because of the difficulty predicting memory access patterns or execution paths. Within an...
Guojing Cong, David A. Bader
DAC
2009
ACM
15 years 10 months ago
Context-sensitive timing analysis of Esterel programs
Traditionally, synchronous languages, such as Esterel, have been compiled into hardware, where timing analysis is relatively easy. When compiled into software ? e.g., into sequent...
Lei Ju, Bach Khoa Huynh, Samarjit Chakraborty, Abh...
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CIKM
2007
Springer
15 years 3 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
IPSN
2007
Springer
15 years 3 months ago
Object tracking in the presence of occlusions via a camera network
This paper describes a sensor network approach to tracking a single object in the presence of static and moving occluders using a network of cameras. To conserve communication ban...
Ali Ozer Ercan, Abbas El Gamal, Leonidas J. Guibas