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IJCNLP
2005
Springer
15 years 8 months ago
Automatic Image Annotation Using Maximum Entropy Model
Automatic image annotation is a newly developed and promising technique to provide semantic image retrieval via text descriptions. It concerns a process of automatically labeling t...
Wei Li, Maosong Sun
ACL
2006
15 years 4 months ago
Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to reme...
Michel Galley, Jonathan Graehl, Kevin Knight, Dani...
KBSE
2010
IEEE
15 years 29 days ago
Variability modeling in the real: a perspective from the operating systems domain
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...
121
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KDD
2007
ACM
335views Data Mining» more  KDD 2007»
16 years 2 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
WSC
2000
15 years 3 months ago
Simulation from non-standard distributions using envelope methods
This paper considers the development of envelope methods as a tool for simulation. Envelope methods are based on the construction of simple envelopes to functions. The proposed en...
Michael J. Evans, Tim B. Swartz