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» On the Complexity of Function Learning
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168
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ECCV
2002
Springer
16 years 5 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
112
Voted
SIGSOFT
2007
ACM
16 years 4 months ago
Recovering and using use-case-diagram-to-source-code traceability links
Use case diagrams (UCDs) are widely used to describe requirements and desired functionality of software products. However, UCDs are loosely linked to source code, and maintaining ...
Mark Grechanik, Kathryn S. McKinley, Dewayne E. Pe...
114
Voted
WWW
2009
ACM
16 years 4 months ago
Web 2.0: blind to an accessible new world
With the advent of Web 2.0 technologies, websites have evolved from static pages to dynamic, interactive Web-based applications with the ability to replicate common desktop functi...
Joshua M. Hailpern, Loretta Guarino Reid, Richard ...
145
Voted
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 4 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
129
Voted
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 4 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
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