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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
ICCV
2011
IEEE
12 years 7 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
ICML
2008
IEEE
14 years 8 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
ITICSE
2005
ACM
14 years 1 months ago
From objects-first to design-first with multimedia and intelligent tutoring
“Objects-first” is an increasingly popular strategy for teaching object-oriented programming by introducing the concepts of objects, classes, and instances before procedural e...
Sally H. Moritz, Fang Wei, Shahida M. Parvez, Glen...
GIS
2008
ACM
14 years 8 months ago
Fast and extensible building modeling from airborne LiDAR data
This paper presents an automatic algorithm which reconstructs building models from airborne LiDAR (light detection and ranging) data of urban areas. While our algorithm inherits t...
Qian-Yi Zhou, Ulrich Neumann