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» Feature Selection for Automatic Image Annotation
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114
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BMCBI
2007
112views more  BMCBI 2007»
15 years 2 months ago
PFAAT version 2.0: A tool for editing, annotating, and analyzing multiple sequence alignments
Background: By virtue of their shared ancestry, homologous sequences are similar in their structure and function. Consequently, multiple sequence alignments are routinely used to ...
Daniel R. Caffrey, Paul H. Dana, Vidhya Mathur, Ma...
110
Voted
ICIP
2010
IEEE
15 years 21 days ago
Towards computational models of kinship verification
We tackle the challenge of kinship verification using novel feature extraction and selection methods, automatically classifying pairs of face images as "related" or &quo...
Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Ch...
103
Voted
CVPR
2010
IEEE
15 years 11 months ago
Building and Using a Semantivisual Image Hierarchy
A semantically meaningful image hierarchy can ease the human effort in organizing thousands and millions of pictures (e.g., personal albums), and help to improve performance of en...
Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, L...
150
Voted
COLING
2002
15 years 2 months ago
Learning Verb Argument Structure from Minimally Annotated Corpora
In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
Anoop Sarkar, Woottiporn Tripasai
160
Voted
SPIESR
2001
174views Database» more  SPIESR 2001»
15 years 4 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi