9886 search results - page 1369 / 1978 » Learning Compressible Models |
190
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NIPS
2007
15 years 8 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
160
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INFORMS
2007
15 years 7 months ago
2007
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
223
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ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two regimes of models: i) sparse coding model using static or moving prim...
212
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IMC
2009
ACM
16 years 1 months ago
2009
ACM
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
237
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ICIP
2004
IEEE
16 years 8 months ago
2004
IEEE
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...