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107
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CVPR
2012
IEEE
13 years 18 days ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
89
Voted
HIS
2008
14 years 11 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
89
Voted
FGR
1998
IEEE
208views Biometrics» more  FGR 1998»
15 years 2 months ago
Locating Facial Region of a Head-and-Shoulders Color Image
This paper addresses our proposed method to automatically locate the person's face from a given image that consists of a head-and-shoulders view of the person and a complex b...
Douglas Chai, King N. Ngan
DAGM
1995
Springer
15 years 1 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
Norbert Krüger