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» Feature Level Clustering of Large Biometric Database
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ICASSP
2010
IEEE
13 years 7 months ago
Privacy and security of features extracted from minutiae aggregates
This paper describes our recent analysis on the security and privacy of biometric feature vectors obtained from fingerprint minutiae. A large number of contiguous regions (cuboid...
Abhishek Nagar, Shantanu Rane, Anthony Vetro
WEBI
2001
Springer
13 years 11 months ago
A Fast Image-Gathering System on the World-Wide Web Using a PC Cluster
Abstract. Thanks to the recent explosive progress of WWW (WorldWide Web), we can easily access a large number of images from WWW. There are, however, no established methods to make...
Keiji Yanai, Masaya Shindo, Kohei Noshita
MMM
2009
Springer
151views Multimedia» more  MMM 2009»
14 years 4 months ago
Large Scale Concept Detection in Video Using a Region Thesaurus
This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus. A video shot is represented by a single keyframe and MPEG-7 featur...
Evaggelos Spyrou, Giorgos Tolias, Yannis S. Avrith...
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
14 years 21 days ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
ADC
2006
Springer
120views Database» more  ADC 2006»
14 years 1 months ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...