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ALMOB
2007
74views more  ALMOB 2007»
13 years 7 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
ICIP
2001
IEEE
14 years 9 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
ICCV
1999
IEEE
14 years 9 months ago
Dynamic Feature Ordering for Efficient Registration
Existing sequential feature-based registration algorithms involving search typically either select features randomly (eg. the RANSAC[8] approach) or assume a predefined, intuitive...
Tat-Jen Cham, James M. Rehg
ICIP
2002
IEEE
14 years 9 months ago
Efficient video similarity measurement with video signature
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. In this paper, we propose a numbe...
Sen-Ching S. Cheung, Avideh Zakhor