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» Ensemble Methods in Machine Learning
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146
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PERCOM
2011
ACM
14 years 7 months ago
Using prediction to conserve energy in recognition on mobile devices
—As devices are expected to be aware of their environment, the challenge becomes how to accommodate these abilities with the power constraints which plague modern mobile devices....
Dawud Gordon, Stephan Sigg, Yong Ding, Michael Bei...
134
Voted
ICCV
2011
IEEE
14 years 3 months ago
What Characterizes a Shadow Boundary under the Sun and Sky?
Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...
137
Voted
ICDCS
2002
IEEE
15 years 8 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
131
Voted
AUSAI
2003
Springer
15 years 9 months ago
Combining Multiple Host-Based Detectors Using Decision Tree
Abstract. As the information technology grows interests in the intrusion detection system (IDS), which detects unauthorized usage, misuse by a local user and modification of impor...
Sang-Jun Han, Sung-Bae Cho
153
Voted
CIKM
2008
Springer
15 years 5 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan