604 search results - page 45 / 121 » Regularization and feature selection for networked features |
162
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MSWIM
2009
ACM
16 years 11 days ago
2009
ACM
The increasing number of independent IEEE 802.11 WLANs owned and managed by autonomous users has led to increased interference, resulting in performance degradation and unfairness...
159
Voted
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
150
Voted
ACMSE
2005
ACM
15 years 11 months ago
2005
ACM
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
147
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ICDAR
2009
IEEE
16 years 9 days ago
2009
IEEE
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on...
181
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ANNPR
2006
Springer
15 years 9 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...