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» Combining Image and Structured Text Retrieval
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EWCBR
2004
Springer
15 years 5 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»
14 years 11 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
14 years 9 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»
14 years 12 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»
14 years 11 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