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BMCBI
2008
114views more  BMCBI 2008»
15 years 1 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
IJRR
2007
80views more  IJRR 2007»
15 years 1 months ago
Combined Path-following and Obstacle Avoidance Control of a Wheeled Robot
This paper proposes an algorithm that drives a unicycle type robot to a desired path, including obstacle avoidance capabilities. The path-following control design relies on Lyapun...
Lionel Lapierre, René Zapata, Pascal L&eacu...
152
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ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 8 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
ICASSP
2011
IEEE
14 years 5 months ago
Combining Haar Feature and skin color based classifiers for face detection
This paper presents a hybrid method for face detection in color images. The well known Haar feature-based face detector developed by Viola and Jones (VJ), that has been designed f...
Çigdem Eroglu Erdem, Sezer Ulukaya, Ali Kar...
MCS
2005
Springer
15 years 7 months ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang