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» Unsupervised feature extraction using neuro-fuzzy approach
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ICCV
2011
IEEE
13 years 9 months ago
Latent Low-Rank Representation for Subspace Segmentation and Feature Extraction
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
Guangcan Liu, Shuicheng Yan
ICIP
2003
IEEE
15 years 11 months ago
Unsupervised Bayesian image segmentation using wavelet-domain hidden Markov models
In this paper, we study unsupervised image segmentation using wavelet-domain hidden Markov models (HMMs). We first review recent supervised Bayesian image segmentation algorithms ...
X. Song, G. Fan
ICCV
2007
IEEE
15 years 11 months ago
Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees
Models of activity structure for unconstrained environments are generally not available a priori. Recent representational approaches to this end are limited by their computational...
Raffay Hamid, Siddhartha Maddi, Aaron F. Bobick, I...
ICASSP
2010
IEEE
14 years 9 months ago
Perceptual audio features for unsupervised key-phrase detection
We propose a new type of audio feature (HFCC-ENS) as well as an unsupervised method for detecting short sequences of spoken words (key-phrases) within long speech recordings. Our ...
Dirk von Zeddelmann, Frank Kurth, Meinard Mül...
IJON
2007
109views more  IJON 2007»
14 years 9 months ago
Monophonic sound source separation with an unsupervised network of spiking neurones
We incorporate auditory-based features into an unconventional pattern classification system, consisting of a network of spiking neurones with dynamical and multiplicative synapse...
Ramin Pichevar, Jean Rouat