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» The Localization Hypothesis and Machines
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TSP
2010
14 years 7 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
100
Voted
ICPR
2004
IEEE
16 years 1 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
98
Voted
ICML
2006
IEEE
16 years 1 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
124
Voted
MLDM
2005
Springer
15 years 6 months ago
An Automatic Face Recognition System in the Near Infrared Spectrum
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In this paper, we present an automatic face recognitio...
Shuyan Zhao, Rolf-Rainer Grigat
110
Voted
ICRA
2000
IEEE
93views Robotics» more  ICRA 2000»
15 years 5 months ago
Human Augmentation in Teleoperation of Arm Manipulators in an Environment with Obstacles
This paper discusses a novel approach to combining human and machine intelligence in teleoperation of 6 degree of freedom (DOF) arm manipulators. Two algorithms are presented that...
Igor Ivanisevic, Vladimir J. Lumelsky