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» Image annotation refinement using random walk with restarts
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CORR
2012
Springer
272views Education» more  CORR 2012»
12 years 1 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...
PVLDB
2008
163views more  PVLDB 2008»
13 years 4 months ago
C-DEM: a multi-modal query system for Drosophila Embryo databases
The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as informatio...
Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing
MIR
2005
ACM
140views Multimedia» more  MIR 2005»
13 years 11 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
ICMCS
2009
IEEE
131views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Web image mining using concept sensitive Markov stationary features
With the explosive growth of web resources, how to mine semantically relevant images efficiently becomes a challenging and necessary task. In this paper, we propose a concept sens...
Chunjie Zhang, Jing Liu, Hanqing Lu, Songde Ma
CVPR
2008
IEEE
14 years 7 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo