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PKDD
2005
Springer
153views Data Mining» more  PKDD 2005»
15 years 7 months ago
A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston
Abstract. Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited ...
Marc Wörlein, Thorsten Meinl, Ingrid Fischer,...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 9 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
SAC
2009
ACM
15 years 9 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
100
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BMCBI
2010
70views more  BMCBI 2010»
15 years 2 months ago
The Text-mining based PubChem Bioassay neighboring analysis
Background: In recent years, the number of High Throughput Screening (HTS) assays deposited in PubChem has grown quickly. As a result, the volume of both the structured informatio...
Lianyi Han, Tugba O. Suzek, Yanli Wang, Steve H. B...
CVPR
2006
IEEE
16 years 4 months ago
Identifying Color in Motion in Video Sensors
Identifying or matching the surface color of a moving object in surveillance video is critical for achieving reliable object-tracking and searching. Traditional color models provi...
Gang Wu, Amir Rahimi, Edward Y. Chang, Kingshy Goh...