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» Sampling Methods for Unsupervised Learning
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EUROCOLT
1999
Springer
15 years 7 months ago
Query by Committee, Linear Separation and Random Walks
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
Ran Bachrach, Shai Fine, Eli Shamir
107
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ICPR
2006
IEEE
16 years 3 months ago
Machine Learning for Video Compression: Macroblock Mode Decision
Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...
Christoph H. Lampert
130
Voted
ICPR
2008
IEEE
15 years 9 months ago
Using collaborative learning for image contrast enhancement
In this paper we propose a novel image contrast enhancement method using collaborative learning. Block-based histogram equalization methods such as contrast limited adaptive histo...
Yuchou Chang, Dah-Jye Lee, James K. Archibald, Yi ...
ICRA
2008
IEEE
141views Robotics» more  ICRA 2008»
15 years 9 months ago
Tracking interacting targets with laser scanner via on-line supervised learning
— Successful multi-target tracking requires locating the targets and labeling their identities. For the laser based tracking system, the latter becomes significantly more challen...
Xuan Song, Jinshi Cui, Xulei Wang, Huijing Zhao, H...
129
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PAMI
2006
206views more  PAMI 2006»
15 years 2 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang