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» Learning Models for Object Recognition
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AIED
2007
Springer
15 years 4 months ago
Taking advantage of the Semantics of a Lesson Graph based on Learning Objects
Lesson graphs are composed of Learning Objects (LOs) and include a valuable amount of information about the content and usage of the LOs, described by the LO metadata. Graphs also ...
Olivier Motelet, Nelson Baloian, Benjamin Piwowars...
CVPR
2007
IEEE
16 years 3 days ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
135
Voted
CVPR
2009
IEEE
16 years 4 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
15 years 1 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal
ICPR
2006
IEEE
15 years 11 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan