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» Patterns for Refinement Automation
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AIR
1998
160views more  AIR 1998»
13 years 6 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...
IJIG
2002
126views more  IJIG 2002»
13 years 6 months ago
Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures
This paper forms a continuation of our work focused on exploiting film grammar for the task of automated film understanding. We examine film rhythm, a powerful narrative concept u...
Brett Adams, Chitra Dorai, Svetha Venkatesh
DEBU
1998
95views more  DEBU 1998»
13 years 6 months ago
What can you do with a Web in your Pocket?
The amount of information available online has grown enormously over the past decade. Fortunately, computing power, disk capacity, and network bandwidth have also increased dramat...
Sergey Brin, Rajeev Motwani, Lawrence Page, Terry ...
JUCS
2002
163views more  JUCS 2002»
13 years 6 months ago
Finding Plagiarisms among a Set of Programs with JPlag
: JPlag is a web service that finds pairs of similar programs among a given set of programs. It has successfully been used in practice for detecting plagiarisms among student Java ...
Lutz Prechelt, Guido Malpohl, Michael Philippsen
PAMI
2007
157views more  PAMI 2007»
13 years 6 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