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» On Learning with Integral Operators
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HCI
2009
15 years 4 months ago
A Computational Implementation of a Human Attention Guiding Mechanism in MIDAS v5
In complex human-machine systems, the human operator is often required to intervene to detect and solve problems. Given this increased reliance on the human in these critical human...
Brian F. Gore, Becky L. Hooey, Christopher D. Wick...
PAMI
2011
15 years 2 months ago
Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
—Optical flow estimation is classically marked by the requirement of dense sampling in time. While coarse-to-fine warping schemes have somehow relaxed this constraint, there is...
Thomas Brox, Jitendra Malik
CVPR
2012
IEEE
13 years 9 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox
CVPR
2007
IEEE
16 years 9 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...
ACMSE
2006
ACM
16 years 1 months ago
Student perspectives of ePortfolios in computing education
This paper presents the preliminary findings of the Electronic Portfolio Student Perspective Instrument (EPSPI) developed to ascertain student attitudes and intended uses of ePort...
Albert Dieter Ritzhaupt, Oma Singh