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JCB
2002
70views more  JCB 2002»
13 years 9 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
LOGCOM
1998
178views more  LOGCOM 1998»
13 years 9 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
MST
1998
91views more  MST 1998»
13 years 9 months ago
An Experimental Analysis of Parallel
We have developed a methodology for predicting the performance of parallel algorithms on real parallel machines. The methodology consists of two steps. First, we characterize a mac...
Guy E. Blelloch, Charles E. Leiserson
PAMI
2002
150views more  PAMI 2002»
13 years 9 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
SPEECH
1998
69views more  SPEECH 1998»
13 years 9 months ago
Noisy speech enhancement using discrete cosine transform
This paper illustrates the advantages of using the Discrete Cosine Transform (DCT) as compared to the standard Discrete Fourier Transform (DFT) for the purpose of removing noise e...
Ing Yann Soon, Soo Ngee Koh, Chai Kiat Yeo
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