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» Object Tracking by Adaptive Modeling
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OOPSLA
2007
Springer
15 years 9 months ago
Modular typestate checking of aliased objects
Objects often define usage protocols that clients must follow in order for these objects to work properly. Aliasing makes it notoriously difficult to check whether clients and i...
Kevin Bierhoff, Jonathan Aldrich
126
Voted
OTM
2004
Springer
15 years 9 months ago
Domain Ontology as a Resource Providing Adaptivity in eLearning
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ...
Galia Angelova, Ognian Kalaydjiev, Albena Strupcha...
148
Voted
CVPR
2004
IEEE
16 years 5 months ago
Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
Michael Harville, Dalong Li
243
Voted
ICCV
2011
IEEE
14 years 3 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
112
Voted
OOPSLA
2009
Springer
15 years 10 months ago
Typestate-oriented programming
Objects model the world, and state is fundamental to a faithful modeling. Engineers use state machines to understand and reason about state transitions, but programming languages ...
Jonathan Aldrich, Joshua Sunshine, Darpan Saini, Z...