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» Learning the Relative Importance of Features in Image Data
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TSMC
2008
136views more  TSMC 2008»
13 years 8 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
IDEAL
2007
Springer
14 years 2 months ago
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
Michael Biehl, Rainer Breitling, Yang Li
TCSV
2008
134views more  TCSV 2008»
13 years 8 months ago
Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain
Watermark resistance to geometric attacks is an important issue in the image watermarking community. Most countermeasures proposed in the literature usually focus on the problem of...
Shijun Xiang, Hyoung-Joong Kim, Jiwu Huang
ICIP
2004
IEEE
14 years 10 months ago
Multi-label SVM active learning for image classification
Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
Xuchun Li, Lei Wang, Eric Sung
SSPR
2010
Springer
13 years 6 months ago
Impact of Visual Information on Text and Content Based Image Retrieval
Abstract. Nowadays, multimedia documents composed of text and images are increasingly used, thanks to the Internet and the increasing capacity of data storage. It is more and more ...
Christophe Moulin, Christine Largeron, Mathias G&e...