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80
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TSP
2008
139views more  TSP 2008»
14 years 10 months ago
Bayesian Filtering With Random Finite Set Observations
This paper presents a novel and mathematically rigorous Bayes recursion for tracking a target that generates multiple measurements with state dependent sensor field of view and clu...
Ba-Tuong Vo, Ba-Ngu Vo, Antonio Cantoni
91
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NN
2000
Springer
161views Neural Networks» more  NN 2000»
14 years 10 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
78
Voted
TEC
1998
106views more  TEC 1998»
14 years 10 months ago
Combining mutation operators in evolutionary programming
Abstract— Traditional investigations with evolutionary programming (EP) for continuous parameter optimization problems have used a single mutation operator with a parameterized p...
Kumar Chellapilla
TNN
1998
112views more  TNN 1998»
14 years 10 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu
70
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TIT
2002
69views more  TIT 2002»
14 years 10 months ago
On the second derivative of a Gaussian process envelope
In this paper we explore some dynamic characteristics of the envelope of a bandpass Gaussian process, which are of interest in wireless fading channels. Specifically, we show that ...
Ali Abdi