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139
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NIPS
2000
15 years 4 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
NIPS
1997
15 years 4 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
CE
2008
76views more  CE 2008»
15 years 2 months ago
Determining factors of the use of e-learning environments by university teachers
E-learning environments increasingly serve as important infrastructural features of universities that enable teachers to provide students with different representations of knowled...
Hossein Mahdizadeh, Harm Biemans, Martin Mulder
118
Voted
ML
1998
ACM
115views Machine Learning» more  ML 1998»
15 years 2 months ago
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
Paul W. Finn, Stephen Muggleton, David Page, Ashwi...
122
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Rapid speaker adaptation with speaker adaptive training and non-negative matrix factorization
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
Xueru Zhang, Kris Demuynck, Hugo Van hamme