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103
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
83
Voted
PROMISE
2010
14 years 4 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
MM
2006
ACM
180views Multimedia» more  MM 2006»
15 years 3 months ago
Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation
The identification of near-duplicate keyframe (NDK) pairs is a useful task for a variety of applications such as news story threading and content-based video search. In this pape...
Chong-Wah Ngo, Wanlei Zhao, Yu-Gang Jiang
SAC
2009
ACM
15 years 4 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
GIS
2006
ACM
15 years 10 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...