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IJCNN
2006
IEEE
14 years 2 months ago
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network
— We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. While building on previous work, the system presented i...
A. Ravishankar Rao, Guillermo A. Cecchi, Charles C...
CVPR
2012
IEEE
11 years 11 months 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...
AAAI
2006
13 years 10 months ago
Self-Supervised Acquisition of Vowels in American English
This paper presents a self-supervised framework for perceptual learning based upon correlations in different sensory modalities. We demonstrate this with a system that has learned...
Michael H. Coen
ICCV
2001
IEEE
14 years 10 months ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
STAIRS
2008
175views Education» more  STAIRS 2008»
13 years 10 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi