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» Mobile learning: A framework and evaluation
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SIGIR
2008
ACM
13 years 9 months ago
Enhancing web search by promoting multiple search engine use
Any given Web search engine may provide higher quality results than others for certain queries. Therefore, it is in users' best interest to utilize multiple search engines. I...
Ryen W. White, Matthew Richardson, Mikhail Bilenko...
MTA
2010
85views more  MTA 2010»
13 years 7 months ago
Investigating fuzzy DLs-based reasoning in semantic image analysis
Recent advances in semantic image analysis have brought forth generic methodologies to support concept learning at large scale. The attained performance however is highly variable,...
Stamatia Dasiopoulou, Ioannis Kompatsiaris, Michae...
TSE
2010
155views more  TSE 2010»
13 years 7 months ago
A Comparison of Six UML-Based Languages for Software Process Modeling
— Describing and managing activities, resources and constraints of software development processes is a challenging goal for many organizations. A first generation of Software Pro...
Reda Bendraou, Jean-Marc Jézéquel, M...
ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
CVPR
2012
IEEE
11 years 11 months ago
Exploiting local and global patch rarities for saliency detection
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based o...
Ali Borji, Laurent Itti