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SEBD
2008
177views Database» more  SEBD 2008»
15 years 7 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta
VMV
2004
100views Visualization» more  VMV 2004»
15 years 7 months ago
Vector Quantization Based Data Selection for Hand-Eye Calibration
The paper presents a new vector quantization based approach for selecting well-suited data for hand-eye calibration from a given sequence of hand and eye movements. Data selection...
Jochen Schmidt, Florian Vogt, Heinrich Niemann
ICCCN
2007
IEEE
15 years 6 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
MSS
2008
IEEE
82views Hardware» more  MSS 2008»
15 years 6 months ago
Revealed preference and indifferent selection
It is shown that preferences can be constructed from observed choice behavior in a way that is robust to indifferent selection (i.e., the agent is indifferent between two alternat...
Eric Danan
PR
2006
111views more  PR 2006»
15 years 6 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