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PAMI
2007
157views more  PAMI 2007»
15 years 5 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus
JDCTA
2010
152views more  JDCTA 2010»
15 years 1 months ago
Spatial Clustering Algorithm Based on Hierarchical-Partition Tree
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
Zhongzhi Li, Xuegang Wang
COMSNETS
2012
199views more  COMSNETS 2012»
14 years 2 months ago
Varanus: More-with-less fault localization in data centers
Abstract—Detecting and localizing performance faults is crucial for operating large enterprise data centers. This problem is relatively straightforward to solve if each entity (a...
Vaishali P. Sadaphal, Maitreya Natu, Harrick M. Vi...
ICA
2007
Springer
16 years 16 days ago
First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results
This article provides an overview of the first stereo audio source separation evaluation campaign, organized by the authors. Fifteen underdetermined stereo source separation algor...
Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoj...
SC
1991
ACM
15 years 10 months ago
A method of vector processing for shared symbolic data
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
Yasusi Kanada