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» Multiple kernel learning and feature space denoising
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96
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ECCV
2010
Springer
15 years 9 months ago
A Fast Dual Method for HIK SVM Learning
Histograms are used in almost every aspect of computer vi-4 4 sion, from visual descriptors to image representations. Histogram Inter-5 5 section Kernel (HIK) and SVM classifiers ...
ICDCS
2010
IEEE
15 years 3 months ago
3DLoc: Three Dimensional Wireless Localization Toolkit
In this paper, we present 3DLoc: an integrated system of hardware and software toolkits for locating an 802.11compliant mobile device in a three dimensional (3D) space. 3DLoc feat...
Jizhi Wang, Yinjie Chen, Xinwen Fu, Jie Wang, Wei ...
144
Voted
COLT
2005
Springer
15 years 9 months ago
Leaving the Span
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
Manfred K. Warmuth, S. V. N. Vishwanathan
166
Voted
PAA
2002
15 years 3 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
148
Voted
AMEC
2003
Springer
15 years 8 months ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...