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» The Dark Side of Object Learning: Learning Objects
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ACCV
2007
Springer
14 years 3 months ago
Combined Object Detection and Segmentation by Using Space-Time Patches
This paper presents a method for classifying the direction of movement and for segmenting objects simultaneously using features of space-time patches. Our approach uses vector quan...
Yasuhiro Murai, Hironobu Fujiyoshi, Takeo Kanade
ECTEL
2006
Springer
14 years 19 days ago
Virtual Action Learning: Experiences from a Study of an SME e-Learning Programme
This paper presents the findings from a project investigating management development for SME managers using an action learning programme, combining both face-to-face workshops and ...
Jean-Anne Stewart, Gillian Alexander
PERCOM
2005
ACM
14 years 8 months ago
Re-Conceptualizing Learning Environments: A Framework for Pervasive eLearning
Pervasive eLearning requires a novel media perspective on learning objects. Instead of viewing handhelds or smart phones as minimized PCs we would like to propose a perspective on...
Reinhard Keil-Slawik, Thorsten Hampel, Bernd E&szl...
CVPR
2007
IEEE
14 years 11 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
IWCM
2004
Springer
14 years 2 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...