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140
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ITS
2000
Springer
108views Multimedia» more  ITS 2000»
15 years 7 months ago
Is What You Write What You Get?: An Operational Model of Training Scenario
To meet the needs for large-scale, high-quality learning contents, needless to say, we have to sharpen authoring tools. Authoring process can be roughly divided into two phases, a ...
Yusuke Hayashi, Mitsuru Ikeda, Kazuhisa Seta, Osam...
97
Voted
ASPDAC
1998
ACM
93views Hardware» more  ASPDAC 1998»
15 years 7 months ago
Inverse Modeling - A Promising Approach to Know What Is Made and What Should Be Made
Seiichiro Yamaguchi, Hiroshi Goto
171
Voted
CVPR
2011
IEEE
14 years 11 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
119
Voted
TRECVID
2008
15 years 4 months ago
Beyond Semantic Search: What You Observe May Not Be What You Think
This paper presents our approaches and results of the four TRECVID 2008 tasks we participated in: high-level feature extraction, automatic video search, video copy detection, and ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanle...
136
Voted
DIMVA
2011
14 years 7 months ago
What's Clicking What? Techniques and Innovations of Today's Clickbots
Abstract. With the widespread adoption of Internet advertising, fraud has become a systemic problem. While the existence of clickbots—malware specialized for conducting click-fra...
Brad Miller, Paul Pearce, Chris Grier, Christian K...