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» Semi-supervised Discriminant Analysis
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KDD
1995
ACM
248views Data Mining» more  KDD 1995»
14 years 9 days ago
Data Mining for Loan Evaluation at ABN AMRO: A Case Study
Wedescribe a case study in data miningfor personal loan evaluation, performed at the ABNAMRObank in the Netherlands. Historical data of clients and their pay-backbehaviourare used...
A. J. Feelders, A. J. F. le Loux, J. W. van't Zand
ISMB
1997
13 years 10 months ago
Functional Prediction of B. subtilis Genes from Their Regulatory Sequences
In bacterial cells, gene expression is regulated by multiple sigma factors, each of which has its promoter specificity, according to their conditions. Thus, if we can discriminate...
Tetsushi Yada, Yasushi Totoki, Takahiro Ishii, Ken...
ICASSP
2010
IEEE
13 years 9 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
13 years 9 months ago
Non-linear fusion of local matching scores for face verification
This paper presents a face verification framework for fusing matching scores that measure similarities of local facial features. The framework is aimed to handle an openset verifi...
Ziheng Zhou, Samuel Chindaro, Farzin Deravi
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 9 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio