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» Kernel-based relation extraction from investigative data
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126
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ICIP
2008
IEEE
15 years 10 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
141
Voted
NAR
2011
208views Computer Vision» more  NAR 2011»
14 years 6 months ago
MIPS: curated databases and comprehensive secondary data resources in 2010
The Munich Information Center for Protein Sequences (MIPS at the Helmholtz Center for Environmental Health, Neuherberg, Germany) has many years of experience in providing annotate...
Hans-Werner Mewes, Andreas Ruepp, Fabian J. Theis,...
128
Voted
IDEAL
2004
Springer
15 years 9 months ago
A Framework for Mining Association Rules in Data Warehouses
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...
Haorianto Cokrowijoyo Tjioe, David Taniar
133
Voted
AAAI
2007
15 years 6 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann
115
Voted
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
15 years 9 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung