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» Unsupervised feature extraction using neuro-fuzzy approach
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ICIP
2006
IEEE
16 years 8 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICPR
2004
IEEE
16 years 7 months ago
A Wrapper-Based Approach to Image Segmentation and Classification
The traditional processing flow of segmentation followed by classification in computer vision assumes that the segmentation is able to successfully extract the object of interest....
Anil K. Jain, Michael E. Farmer
HAIS
2008
Springer
15 years 7 months ago
Extracting Multi-knowledge from fMRI Data through Swarm-Based Rough Set Reduction
Abstract. Functional Magnetic Resonance Imaging (fMRI) data is collected ceaselessly during brain research, which implicates some important information. It need to be extracted and...
Hongbo Liu, Ajith Abraham, Hong Ye
ICASSP
2010
IEEE
15 years 6 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
EUSFLAT
2003
145views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
Proximity fuzzy clustering for web context analysis
This study extends the web classification approach through a proximity-based fuzzy clustering sensible to the influence of the page. The proximity-based fuzzy clustering works in ...
Vincenzo Loia, Witold Pedrycz, Sabrina Senatore