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» A Framework for Multiple-Instance Learning
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ACMACE
2008
ACM
13 years 11 months ago
Training social learning skills by collaborative mobile gaming in museums
The use of handheld computers as a tool to enrich the museum experience has found its way into many museums, opening up new possibilities to increase the attractiveness of museum ...
Jolien Schroyen, Kris Gabriëls, Kris Luyten, ...
PR
2006
89views more  PR 2006»
13 years 9 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
IJIIDS
2007
57views more  IJIIDS 2007»
13 years 9 months ago
Evaluating learning algorithms and classifiers
: We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several...
Niklas Lavesson, Paul Davidsson
ICIG
2009
IEEE
13 years 7 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
CVPR
2010
IEEE
14 years 1 months ago
An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...