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» Pose Classification Using Support Vector Machines
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ICMLA
2008
14 years 11 months ago
Ensemble Machine Methods for DNA Binding
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
Yue Fan, Mark A. Kon, Charles DeLisi
ICIAR
2004
Springer
15 years 3 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
CGO
2008
IEEE
15 years 4 months ago
Compiling for vector-thread architectures
Vector-thread (VT) architectures exploit multiple forms of parallelism simultaneously. This paper describes a compiler for the Scale VT architecture, which takes advantage of the ...
Mark Hampton, Krste Asanovic
UAI
2000
14 years 11 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
HIS
2004
14 years 11 months ago
Classification Ensembles for Shaft Test Data: Empirical Evaluation
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
Kyungmi Lee, Vladimir Estivill-Castro