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SAC
2010
ACM
13 years 2 months ago
A study on interestingness measures for associative classifiers
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...
Mojdeh Jalali Heravi, Osmar R. Zaïane
PAMI
2006
358views more  PAMI 2006»
13 years 7 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
PRL
2008
198views more  PRL 2008»
13 years 7 months ago
Pose estimation and tracking using multivariate regression
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
BMCBI
2007
178views more  BMCBI 2007»
13 years 7 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
DYNAMO
2000
87views more  DYNAMO 2000»
13 years 9 months ago
Derive: a tool that automatically reverse-engineers instruction encodings
Many binary tools, such as disassemblers, dynamiccode generation systems, and executable code rewriters, need to understand how machine instructions are encoded. Unfortunately, sp...
Dawson R. Engler, Wilson C. Hsieh