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» Using Classifiers to Solve Warehouse Location Problems
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HAIS
2009
Springer
15 years 2 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
UAI
2004
14 years 11 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 3 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
15 years 1 months ago
Optimal Hand Gesture Vocabulary Design Using Psycho-Physiological and Technical Factors
A global approach to hand gesture vocabulary design is proposed which includes human as well as technical design factors. The human centered desires of multiple users are implicit...
Helman Stern, Juan P. Wachs, Yael Edan
ISBI
2002
IEEE
15 years 2 months ago
A shape reconstruction method for diffuse optical tomography using a transport model and level sets
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...
O. Dorn