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111
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ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
15 years 6 months ago
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
Peng Zhang, Jing Peng, Carlotta Domeniconi
119
Voted
JIIS
2000
120views more  JIIS 2000»
15 years 13 days ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...
97
Voted
IJCAI
1989
15 years 1 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
ECCV
2002
Springer
16 years 2 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
73
Voted
ICCD
2001
IEEE
176views Hardware» more  ICCD 2001»
15 years 9 months ago
BDD Variable Ordering by Scatter Search
Reduced Ordered Binary Decision Diagrams (BDDs) are a data structure for representation and manipulation of Boolean functions which are frequently used in VLSI Design Automation. ...
William N. N. Hung, Xiaoyu Song