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PAMI
2007
157views more  PAMI 2007»
15 years 2 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
IPPS
2010
IEEE
15 years 1 months ago
Scalable multi-pipeline architecture for high performance multi-pattern string matching
Multi-pattern string matching remains a major performance bottleneck in network intrusion detection and anti-virus systems for high-speed deep packet inspection (DPI). Although Aho...
Weirong Jiang, Yi-Hua Edward Yang, Viktor K. Prasa...
CGF
2011
14 years 6 months ago
Intrinsic Shape Matching by Planned Landmark Sampling
Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have bee...
Art Tevs, Alexander Berner, Michael Wand, Ivo Ihrk...
VLDB
2003
ACM
165views Database» more  VLDB 2003»
16 years 3 months ago
Learning to match ontologies on the Semantic Web
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
AnHai Doan, Jayant Madhavan, Robin Dhamankar, Pedr...
ICCV
2009
IEEE
15 years 10 months ago
Multiperspective Stereo Matching and Volumetric Reconstruction
Stereo matching and volumetric reconstruction are the most explored 3D scene recovery techniques in computer vision. Many existing approaches assume perspective input images and us...
Yuanyuan Ding, Jingyi Yu, and Peter Sturm