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» Consistency of Feature Markov Processes
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115
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AI
2009
Springer
15 years 10 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
147
Voted
ICANN
2005
Springer
15 years 9 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
IPMI
2001
Springer
16 years 4 months ago
Feature Enhancement in Low Quality Images with Application to Echocardiography
In this paper we propose a novel approach to feature enhancement to enhance the quality of noisy images. Our approach is based on a phase-based feature detection algorithm, followe...
Djamal Boukerroui, J. Alison Noble, Michael Brady
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 8 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
144
Voted
BMVC
2010
15 years 1 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison