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» Tight results for clustering and summarizing data streams
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MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 1 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
CIKM
2009
Springer
14 years 2 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
VR
2010
IEEE
151views Virtual Reality» more  VR 2010»
13 years 6 months ago
Virtually augmenting hundreds of real pictures: An approach based on learning, retrieval, and tracking
Tracking is a major issue of virtual and augmented reality applications. Single object tracking on monocular video streams is fairly well understood. However, when it comes to mul...
Julien Pilet, Hideo Saito
COCO
2009
Springer
131views Algorithms» more  COCO 2009»
14 years 2 months ago
A Multi-Round Communication Lower Bound for Gap Hamming and Some Consequences
—The Gap-Hamming-Distance problem arose in the context of proving space lower bounds for a number of key problems in the data stream model. In this problem, Alice and Bob have to...
Joshua Brody, Amit Chakrabarti