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» Combining Methods for Dynamic Multiple Classifier Systems
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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
15 years 6 months ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
101
Voted
ICPR
2006
IEEE
16 years 1 months ago
Robust Tracking of Multiple People in Crowds Using Laser Range Scanners
Laser based people tracking systems have been developed for mobile robotic or intelligent surveillance areas. Existing systems rely on laser point clustering to extract object loc...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
122
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Speaker recognition using multiple kernel learning based on conditional entropy minimization
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru...
103
Voted
RECOMB
2009
Springer
16 years 1 months ago
Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology
The dynamics of biological processes are often modeled as systems of nonlinear ordinary differential equations (ODE). An important feature of nonlinear ODEs is that seemingly minor...
Alexandre Donzé, Gilles Clermont, Axel Lega...
83
Voted
CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 19 days ago
Study of Self-Organization Model of Multiple Mobile Robot
: A good organization model of multiple mobile robot should be able to improve the efficiency of the system, reduce the complication of robot interactions, and detract the difficul...
Cheng Xian-Yi, Li Shu-Qin, Xian De-Shen