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» Image Retrieval Using a Hierarchy of Clusters
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ICMCS
2000
IEEE
79views Multimedia» more  ICMCS 2000»
14 years 2 days ago
From Features to Semantics: Some Preliminary Results
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic anal...
Rong Zhao, William I. Grosky
SIGMOD
2008
ACM
206views Database» more  SIGMOD 2008»
14 years 7 months ago
Ad-hoc aggregations of ranked lists in the presence of hierarchies
A variety of web sites and web based services produce textual lists at varying time granularities ranked according to several criteria. For example, Google Trends produces lists o...
Nilesh Bansal, Sudipto Guha, Nick Koudas
SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
13 years 12 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim
PR
2002
140views more  PR 2002»
13 years 7 months ago
Negotiating the semantic gap: from feature maps to semantic landscapes
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic inde...
Rong Zhao, William I. Grosky
MMDB
2003
ACM
94views Multimedia» more  MMDB 2003»
14 years 28 days ago
Improving image retrieval effectiveness via multiple queries
Conventional approaches to image retrieval are based on the assumption that relevant images are physically near the query image in some feature space. This is the basis of the clu...
Xiangyu Jin, James C. French