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» Multiple kernel learning and feature space denoising
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ECCV
2010
Springer
15 years 5 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
14 years 12 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 ...
COLT
2005
Springer
15 years 5 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
PAA
2002
14 years 11 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
AMEC
2003
Springer
15 years 5 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 ...