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MCS
2000
Springer
15 years 1 months ago
Experiments with Classifier Combining Rules
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
Robert P. W. Duin, David M. J. Tax
HIPEAC
2010
Springer
15 years 6 months ago
Combining Locality Analysis with Online Proactive Job Co-scheduling in Chip Multiprocessors
Abstract. The shared-cache contention on Chip Multiprocessors causes performance degradation to applications and hurts system fairness. Many previously proposed solutions schedule ...
Yunlian Jiang, Kai Tian, Xipeng Shen
ICCV
2005
IEEE
15 years 11 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
ICCV
2005
IEEE
15 years 11 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...