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» Possibilistic Clustering in Feature Space
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ICDAR
2009
IEEE
13 years 5 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Clustering-Based Analysis of Semantic Concept Models for Video Shots
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such model...
Markus Koskela, Alan F. Smeaton
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 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
CVPR
2005
IEEE
14 years 9 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
JMM2
2006
110views more  JMM2 2006»
13 years 7 months ago
Two-Stage PCA Extracts Spatiotemporal Features for Gait Recognition
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
Sandhitsu R. Das, Robert C. Wilson, Maciej T. Laza...