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139
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WACV
2005
IEEE
15 years 9 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
141
Voted
AUSAI
2004
Springer
15 years 9 months ago
Genetic Algorithm Based K-Means Fast Learning Artificial Neural Network
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
Yin Xiang, Alex Leng Phuan Tay
128
Voted
BIOCOMP
2006
15 years 5 months ago
WebDock: A Structure-Based Drug Discovery Web Service
High-Throughput Docking has emerged as a well establish method for identifying lead components in the process of searching for new drugs. The High-Throughput Docking Service provi...
Joseph Gill, Legand L. Burge III, Zengjian Hu, Wil...
91
Voted
JSAC
2008
56views more  JSAC 2008»
15 years 3 months ago
An efficient hierarchical optical path network design algorithm based on a traffic demand expression in a cartesian product spac
We propose a hierarchical optical path network design algorithm. In order to efficiently accommodate wavelength paths in each waveband path, we define a source-destination Cartesia...
Isao Yagyu, Hiroshi Hasegawa, Ken-ichi Sato
154
Voted
IDA
2010
Springer
14 years 10 months ago
Fingerprint classification based on subclass analysis using multiple templates of support vector machines
Fingerprint classification reduces the searching time of an automated fingerprint identification system. Since fingerprints have properties of intra-class diversities and inter-cla...
Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho