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138
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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 8 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
CEAS
2005
Springer
15 years 6 months ago
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)
Human interaction proofs (HIPs) have become commonplace on the internet for protecting free online services from abuse by automated scripts/bots. They are challenges designed to b...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
154
Voted
JCIT
2008
117views more  JCIT 2008»
15 years 4 months ago
The New Face Recognition Technique With the use of PCA and LDA
Image recognition using various image classifiers is an active research area. In this paper we will describe a new face recognition method based on PCA (Principal Component Analys...
Seyed Zeinolabedin Moussavi, Saeedreza Ehteram, Al...
TNN
2008
94views more  TNN 2008»
15 years 4 months ago
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions
There usually exist many kinds of variations in face images taken under uncontrolled conditions, such as changes of pose, illumination, expression, etc. Most previous works on fac...
Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 4 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...