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» Using Random Forests in the Structured Language Model
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ICIP
1994
IEEE
16 years 3 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»
15 years 2 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
15 years 7 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»
15 years 2 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
111
Voted
ICASSP
2008
IEEE
15 years 8 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