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» A selective sampling approach to active feature selection
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MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 5 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang
78
Voted
ISCAS
2003
IEEE
110views Hardware» more  ISCAS 2003»
15 years 5 months ago
Active subset selection approach to nonlinear modeling of ECG data
Christian Merkwirth, Jörg D. Wichard, Maciej ...
CSDA
2007
152views more  CSDA 2007»
14 years 11 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
CVPR
2012
IEEE
13 years 2 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
98
Voted
BMCBI
2007
217views more  BMCBI 2007»
14 years 11 months ago
On consensus biomarker selection
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
Janusz Dutkowski, Anna Gambin