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» Using Random Forests in the Structured Language Model
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ICIP
1994
IEEE
14 years 11 months ago
A Tree Structured Bayesian Scalar Quantizer for Wavelet Based Image Compression
ABSTRACT the pyramid. Recently, a number of promising quanMultiresolution imagedecompositions (e. g., wavelets), in conjunction with a variety of quantization schemes, have been sh...
Birsen Yazici, Mary L. Comer, Rangasami L. Kashyap...
IJCV
2006
161views more  IJCV 2006»
13 years 10 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert
WISE
2002
Springer
14 years 2 months ago
UTML: Unified Transaction Modeling Language
Web transactions may be complex, composed of several sub-transactions accessing different resources including legacy systems. They may also have complex semantics. To deal with co...
Nektarios Gioldasis, Stavros Christodoulakis
BMCBI
2004
126views more  BMCBI 2004»
13 years 9 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
ICASSP
2008
IEEE
14 years 4 months ago
A covariance kernel for SVM language recognition
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...
William M. Campbell