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NIPS
2001
15 years 6 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
MVA
1992
124views Computer Vision» more  MVA 1992»
15 years 5 months ago
Separation of Textual and Non-textual Information within Mixed-Mode Documents
An increasing number of comfortable publishing systems nowadays leads to documents containing more than just textual information. Graphics and images are combined with text and of...
Frank Hönes, Rainer Zimmer
FGR
2008
IEEE
192views Biometrics» more  FGR 2008»
15 years 5 months ago
Tracking a walking person using activity-guided annealed particle filtering
Tracking human pose using observations from less than three cameras is a challenging task due to ambiguity in the available image evidence. This work presents a method for trackin...
John Darby, Baihua Li, Nicholas Costen
147
Voted
HAIS
2008
Springer
15 years 5 months ago
Extraction of Geometrical Features in 3D Environments for Service Robotic Applications
Modeling environments with 3D feature based representations is a challenging issue in current mobile robotics. Fast and robust algorithms are required for applicability to navigati...
Paloma de la Puente, Diego Rodríguez-Losada...
BIBE
2008
IEEE
150views Bioinformatics» more  BIBE 2008»
15 years 4 months ago
Automatic DNA microarray gridding based on Support Vector Machines
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...