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» Results Merging Algorithm Using Multiple Regression Models
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ICMCS
2008
IEEE
211views Multimedia» more  ICMCS 2008»
15 years 3 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
EVOW
2004
Springer
15 years 2 months ago
Binary Merge Model Representation of the Graph Colouring Problem
This paper describes a novel representation and ordering model that, aided by an evolutionary algorithm, is used in solving the graph k-colouring problem. Its strength lies in redu...
István Juhos, Attila Tóth, Jano I. v...
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
AUSAI
2007
Springer
15 years 3 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
TSMC
2010
14 years 4 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris