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» Selective Attention Improves Learning
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99
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CIKM
2009
Springer
15 years 7 months ago
Web search result summarization: title selection algorithms and user satisfaction
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...
90
Voted
CGO
2007
IEEE
15 years 7 months ago
Rapidly Selecting Good Compiler Optimizations using Performance Counters
Applying the right compiler optimizations to a particular program can have a significant impact on program performance. Due to the non-linear interaction of compiler optimization...
John Cavazos, Grigori Fursin, Felix V. Agakov, Edw...
98
Voted
AAAI
2008
15 years 3 months ago
Automating To-Do Lists for Users: Interpretation of To-Dos for Selecting and Tasking Agents
To-do lists have been found to be the most popular personal information management tools, yet there is no automated system to interpret and act upon them when appropriate on behal...
Yolanda Gil, Varun Ratnakar
124
Voted
IAT
2010
IEEE
14 years 10 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
95
Voted
CVPR
2006
IEEE
16 years 2 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang