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» A Robust Minimax Approach to Classification
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BMCBI
2005
140views more  BMCBI 2005»
13 years 9 months ago
JACOP: A simple and robust method for the automated classification of protein sequences with modular architecture
Background: Whole-genome sequencing projects are rapidly producing an enormous number of new sequences. Consequently almost every family of proteins now contains hundreds of membe...
Peter Sperisen, Marco Pagni
CVPR
2004
IEEE
14 years 11 months ago
Point Matching as a Classification Problem for Fast and Robust Object Pose Estimation
We propose a novel approach to point matching under large viewpoint and illumination changes that is suitable for accurate object pose estimation at a much lower computational cos...
Vincent Lepetit, Julien Pilet, Pascal Fua
TMA
2010
Springer
148views Management» more  TMA 2010»
13 years 6 months ago
TCP Traffic Classification Using Markov Models
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Gerhard Münz, Hui Dai, Lothar Braun, Georg Ca...
ICML
2004
IEEE
14 years 9 months ago
A MFoM learning approach to robust multiclass multi-label text categorization
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
ICPR
2006
IEEE
14 years 10 months ago
A Person and Context Specific Approach for Skin Color Classification
Skin color is an important feature of faces. Various applications benefit from robust skin color detection. Depending on camera settings, illumination, shadows, people's tans...
Matthias Wimmer, Bernd Radig, Michael Beetz