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» Using Neural Nets to Estimate Evolutionary Parameters
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ICASSP
2007
IEEE
14 years 2 months ago
Fundamental Detection and Estimation Limits in Spike Sorting
Spike sorting refers to the detection and classification of electric potentials (spikes) from multi-neuron recordings, a difficult but essential pre-processing step before neura...
Mona A. Sheikh, Don H. Johnson
PRL
1998
93views more  PRL 1998»
13 years 8 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001
BMCBI
2008
130views more  BMCBI 2008»
13 years 8 months ago
IDEA: Interactive Display for Evolutionary Analyses
Background: The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints ...
Amy Egan, Anup Mahurkar, Jonathan Crabtree, Jonath...
TNN
2008
181views more  TNN 2008»
13 years 8 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
ICIP
2010
IEEE
13 years 6 months ago
Probabilistic human pose recovery from 2D images
Image based human pose recovery has many applications in different industries such as games, entertainment, physiological rehabilitation and biometrics. This paper presents a new ...
Farid Flitti, Mohammed Bennamoun, Du Q. Huynh, Rob...