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» Combining Image and Structured Text Retrieval
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EWCBR
2004
Springer
14 years 3 months ago
Feature Selection and Generalisation for Retrieval of Textual Cases
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
Nirmalie Wiratunga, Ivan Koychev, Stewart Massie
IJDAR
2006
103views more  IJDAR 2006»
13 years 9 months ago
Table-processing paradigms: a research survey
Tables are a ubiquitous form of communication. While everyone seems to know what a table is, a precise, analytical definition of "tabularity" remains elusive because some...
David W. Embley, Matthew Hurst, Daniel P. Lopresti...
CIKM
2010
Springer
13 years 7 months ago
EntityEngine: answering entity-relationship queries using shallow semantics
We introduce EntityEngine, a system for answering entityrelationship queries over text. Such queries combine SQLlike structures with IR-style keyword constraints and therefore, ca...
Xiaonan Li, Chengkai Li, Cong Yu
MM
2010
ACM
192views Multimedia» more  MM 2010»
13 years 10 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
TIP
2002
179views more  TIP 2002»
13 years 9 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki