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BIBE
2007
IEEE
152views Bioinformatics» more  BIBE 2007»
13 years 10 months ago
SBLAST: Structural Basic Local Alignment Searching Tools using Geometric Hashing
While much research has been done on finding similarities between protein sequences, there has not been the same progress on finding similarities between protein structures. Here ...
Tom Milledge, Gaolin Zheng, Tim Mullins, Giri Nara...
CVIU
2004
115views more  CVIU 2004»
13 years 10 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
TMM
2010
199views Management» more  TMM 2010»
13 years 5 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath
MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 4 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
14 years 2 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...