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» Feature Selection for Complex Patterns
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TASLP
2002
84views more  TASLP 2002»
13 years 8 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
IROS
2009
IEEE
150views Robotics» more  IROS 2009»
14 years 3 months ago
Learning locomotion over rough terrain using terrain templates
— We address the problem of foothold selection in robotic legged locomotion over very rough terrain. The difficulty of the problem we address here is comparable to that of human...
Mrinal Kalakrishnan, Jonas Buchli, Peter Pastor, S...
IBPRIA
2003
Springer
14 years 2 months ago
A Colour Tracking Procedure for Low-Cost Face Desktop Applications
In this paper we present an environment for the tracking of a human face obtained from a real video sequence. We will describe the system and discuss the advantages and disadvanta...
Francisco J. Perales López, Ramon Mas, Miqu...
SIGMOD
2005
ACM
166views Database» more  SIGMOD 2005»
14 years 9 months ago
Substructure Similarity Search in Graph Databases
Advanced database systems face a great challenge raised by the emergence of massive, complex structural data in bioinformatics, chem-informatics, and many other applications. The ...
Xifeng Yan, Philip S. Yu, Jiawei Han
CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 3 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...