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» Protein Classification with Multiple Algorithms
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CVPR
2010
IEEE
15 years 2 months ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
ICML
2010
IEEE
14 years 7 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
71
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ICMCS
2010
IEEE
168views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Block-based image steganalysis for a multi-classifier
Traditional image steganalysis techniques for classification of steganograhic algorithms are conducted with respect to the entire image. In this work, we aim to design a multi-cla...
Seongho Cho, Jingwei Wang, C.-C. Jay Kuo, Byung-Ho...
BMCBI
2006
195views more  BMCBI 2006»
14 years 9 months ago
CAFTAN: a tool for fast mapping, and quality assessment of cDNAs
Background: The German cDNA Consortium has been cloning full length cDNAs and continued with their exploitation in protein localization experiments and cellular assays. However, t...
Coral del Val, Vladimir Yurjevich Kuryshev, Karl-H...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 3 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov