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» Learning the Relative Importance of Features in Image Data
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ICPR
2004
IEEE
16 years 5 months ago
Learning Sample Subspace with Application to Face Detection
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
Guoping Qiu, Jianzhong Fang
LREC
2010
187views Education» more  LREC 2010»
15 years 5 months ago
Ontology-Based Categorization of Web Services with Machine Learning
We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
Adam Funk, Kalina Bontcheva
NN
2002
Springer
114views Neural Networks» more  NN 2002»
15 years 3 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
ICPR
2006
IEEE
16 years 5 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 5 months ago
Biomedical Hypothesis Generation and Testing by Evolutionary Computation
- Filtering the immense amount of data available electronically over the World Wide Web is an important task of search engines in data mining applications. Users when performing se...
Robert Kozma, Anna L. Buczak