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» A User Study in Similarity Measures for Graph Drawing
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CVPR
2004
IEEE
14 years 10 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...
WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
14 years 5 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He
MOBISYS
2006
ACM
14 years 8 months ago
Building realistic mobility models from coarse-grained traces
In this paper we present a trace-driven framework capable of building realistic mobility models for the simulation studies of mobile systems. With the goal of realism, this framew...
Jungkeun Yoon, Brian D. Noble, Mingyan Liu, Minkyo...
WWW
2011
ACM
13 years 3 months ago
Predicting popular messages in Twitter
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the c...
Liangjie Hong, Ovidiu Dan, Brian D. Davison
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 1 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz