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» Means, Correlations and Bounds
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ICCCN
2007
IEEE
15 years 1 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
JASIS
2008
109views more  JASIS 2008»
15 years 1 months ago
Modifying the journal impact factor by fractional citation weighting: The audience factor
A new approach to the field normalization of the classical journal impact factor is introduced called the audience factor. This approach takes into consideration the citing propen...
Michel Zitt, Henry Small
JCB
2008
75views more  JCB 2008»
15 years 1 months ago
New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design
We define new measures of sequence similarity for oligonucleotide probe design. These new measures incorporate the nearest neighbor k-stem motifs in their definition, but can be e...
Anthony J. Macula, Alexander Schliep, Morgan A. Bi...
RAS
2006
107views more  RAS 2006»
15 years 1 months ago
Quantifying patterns of agent-environment interaction
This article explores the assumption that a deeper (quantitative) understanding of the information-theoretic implications of sensory-motor coordination can help endow robots not o...
Danesh Tarapore, Max Lungarella, Gabriel Gó...
IJISTA
2007
124views more  IJISTA 2007»
15 years 1 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...