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» A Hierarchical Approach to Sign Recognition
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AIPR
2005
IEEE
14 years 1 months ago
Hierarchical Bayesian Algorithm for Diffuse Optical Tomography
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
KI
2007
Springer
14 years 1 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personā€™s activities and signiļ¬...
Dieter Fox
BMCBI
2004
96views more  BMCBI 2004»
13 years 7 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
ICPR
2008
IEEE
14 years 8 months ago
Efficient implementation of SVM for large class problems
Multiclass classification is an important problem in pattern recognition. Hierarchical SVM classifiers such as DAG-SVM and BHC-SVM are popular in solving multiclass problems. Howe...
Prabakaran Ilayaraja, N. V. Neeba, C. V. Jawahar
PRL
2010
310views more  PRL 2010»
13 years 5 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of ļ¬tting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier