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» Learning and prediction of slip from visual information
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CVPR
2008
IEEE
13 years 9 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
CHI
2011
ACM
12 years 11 months ago
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Little research exists on one of the most common, oldest, and most utilized forms of online social geographic information: the “location” field found in most virtual community...
Brent Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi
HICSS
2007
IEEE
105views Biometrics» more  HICSS 2007»
14 years 2 months ago
A Visualization Framework for Task-Oriented Modeling Using UML
— The UML is a collection of 13 diagram notations to describe different views of a software system. The existing diagram types display model elements and their relations. Softwar...
Christian F. J. Lange, Martijn A. M. Wijns, Michel...
COLT
2004
Springer
14 years 1 months ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 6 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...