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» Feature Construction for Relational Sequence Learning
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NN
2006
Springer
14 years 11 months ago
Self-organizing neural networks to support the discovery of DNA-binding motifs
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
ICMCS
2006
IEEE
106views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Scalability in Human Shape Analysis
This paper proposes a new approach for the human motion analysis. The main contribution comes from the proposed representation of the human body. Most of already existing systems ...
Thomas Fourès, Philippe Joly
ML
2006
ACM
113views Machine Learning» more  ML 2006»
15 years 5 months ago
A separate compilation extension to standard ML
We present an extension to Standard ML, called SMLSC, to support separate compilation. The system gives meaning to individual program fragments, called units. Units may depend on ...
David Swasey, Tom Murphy VII, Karl Crary, Robert H...
WACV
2012
IEEE
13 years 7 months ago
Online discriminative object tracking with local sparse representation
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
ICML
2002
IEEE
16 years 15 days ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper