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» A Monotonic Measure for Optimal Feature Selection
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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
BMCBI
2010
224views more  BMCBI 2010»
13 years 8 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
MMM
2009
Springer
112views Multimedia» more  MMM 2009»
14 years 5 months ago
General Highlight Detection in Sport Videos
Abstract. Attention is a psychological measurement of human reflection against stimulus. We propose a general framework of highlight detection by comparing attention intensity dur...
Reede Ren, Joemon M. Jose
NIPS
2008
13 years 10 months ago
Dynamic visual attention: searching for coding length increments
A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs. In this paper, a dynamic visual ...
Xiaodi Hou, Liqing Zhang
ICASSP
2010
IEEE
13 years 8 months ago
Semantic confidence calibration for spoken dialog applications
The success of spoken dialog applications depends strongly on the quality of the semantic confidence measure that determines the selection of the dialog strategy. However, the sem...
Dong Yu, Li Deng