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ICCCN
2007
IEEE
15 years 4 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
CACM
2008
53views more  CACM 2008»
15 years 3 months ago
Distributed selection: a missing piece of data aggregation
In this article, we study the problem of distributed selection from a theoretical point of view. Given a general connected graph of diameter D consisting of n nodes in which each ...
Fabian Kuhn, Thomas Locher, Roger Wattenhofer
144
Voted
PR
2006
111views more  PR 2006»
15 years 3 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
TWC
2008
139views more  TWC 2008»
15 years 3 months ago
Statistical Multimode Transmit Antenna Selection for Limited Feedback MIMO Systems
In a wireless multiple-input multiple-output (MIMO) system, transmit antenna selection is an effective means of achieving good performance with low complexity. We consider spatial ...
Chang Soon Park, Kwang Bok Lee
MCS
2010
Springer
15 years 2 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...