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» Learning Internal Representations
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68
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ICPR
2010
IEEE
15 years 7 months ago
Vehicle Recognition As Changes in Satellite Imagery
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
Ozge Can Ozcanli, Joseph Mundy
123
Voted
CVPR
2010
IEEE
15 years 6 months ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
AAAI
2007
15 years 5 months ago
Supporting Feedback and Assessment of Digital Ink Answers to In-Class Exercises
Effective teaching involves treating the presentation of new material and the assessment of students’ mastery of this material as part of a seamless and continuous feedback cycl...
Kimberle Koile, Kevin Chevalier, Michel Rbeiz, Ada...
116
Voted
EXACT
2007
15 years 5 months ago
PML 2: A Modular Explanation Interlingua
In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering sys...
Deborah L. McGuinness, Li Ding, Paulo Pinheiro da ...
101
Voted
COLT
2008
Springer
15 years 5 months ago
Dimension and Margin Bounds for Reflection-invariant Kernels
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...
Thorsten Doliwa, Michael Kallweit, Hans-Ulrich Sim...