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ICML
2005
IEEE
14 years 8 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
ICMCS
2008
IEEE
211views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A real-time video surveillance system with human occlusion handling using nonlinear regression
This paper presents a real-time single-camera surveillance system, aiming at detecting and partly analyzing a group of people. A set of moving persons is segmented using a combina...
Jungong Han, Minwei Feng, Peter H. N. de With
IJCNN
2008
IEEE
14 years 2 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
ITC
1997
IEEE
94views Hardware» more  ITC 1997»
13 years 12 months ago
Identification of Defective CMOS Devices Using Correlation and Regression Analysis of Frequency Domain Transient Signal Data
Transient Signal Analysis is a digital device testing method that is based on the analysis of voltage transients at multiple test points and on IDD switching transients on the sup...
James F. Plusquellic, Donald M. Chiarulli, Steven ...
ESANN
2007
13 years 9 months ago
Bat echolocation modelling using spike kernels with Support Vector Regression
Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
Bertrand Fontaine, Herbert Peremans, Benjamin Schr...