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133
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ICML
2002
IEEE
16 years 3 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock
116
Voted
ICPP
1995
IEEE
15 years 6 months ago
Sorting and Selection on Distributed Memory Bus Computers
In this paper we study the problems of sorting and selection on the Distributed Memory Bus Computer (DMBC) recently introduced by Sahni. In particular we present: 1) An efficient a...
Sanguthevar Rajasekaran, Sartaj Sahni
120
Voted
GLOBECOM
2008
IEEE
15 years 2 months ago
Power Allocation for Cognitive Radios Based on Primary User Activity in an OFDM System
Efficient and reliable power allocation algorithm in Cognitive radio (CR) networks is a challenging problem. Traditional water-filling algorithm is inefficient for CR networks due ...
Ziaul Hasan, Ekram Hossain, Charles L. Despins, Vi...
158
Voted
CVPR
2011
IEEE
14 years 11 months ago
Active Learning for Piecewise Planar 3D Reconstruction
In this work, we present an active-learning algorithm for piecewise planar 3D reconstruction of a scene. While previous interactive algorithms require the user to provide tedious i...
Adarsh Kowdle, Yao-Jen Chang, Andrew Gallagher, Ts...
112
Voted
ACL
2008
15 years 4 months ago
Active Learning with Confidence
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
Mark Dredze, Koby Crammer