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CVPR
2005
IEEE
14 years 1 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
QRE
2010
129views more  QRE 2010»
13 years 6 months ago
Improving quality of prediction in highly dynamic environments using approximate dynamic programming
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Rajesh Ganesan, Poornima Balakrishna, Lance Sherry
AIED
2007
Springer
13 years 11 months ago
Optimizing Student Models for Causality
Complex student models often include key parameters critical to their behavior and effectiveness. For example, one meta-cognitive model of student help-seeking in intelligent tutor...
Benjamin Shih, Kenneth R. Koedinger, Richard Schei...
KES
2011
Springer
13 years 2 months ago
Recommendation for English multiple-choice cloze questions based on expected test scores
When students study for multiple-choice cloze tests as the Test of English for International Communication (TOEIC), they tend to repeatedly tackle questions of the same type. In su...
Tomoharu Iwata, Tomoko Kojiri, Takeshi Yamada, Toy...
DIS
2001
Springer
14 years 4 days ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama