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» Learning Generative Models via Discriminative Approaches
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VLSID
2005
IEEE
167views VLSI» more  VLSID 2005»
14 years 8 months ago
A Methodology and Tooling Enabling Application Specific Processor Design
This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...
ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
14 years 8 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai
CVPR
2009
IEEE
13 years 11 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
JWSR
2006
168views more  JWSR 2006»
13 years 7 months ago
Facilitating the Specification of Semantic Web Services Using Model-Driven Development
The Semantic Web promises automated invocation, discovery, and composition of Web services by enhancing services with semantic descriptions. An upper ontology for Web services cal...
Gerald C. Gannod, John T. E. Timm, Raynette J. Bro...