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IJCV
2008
167views more  IJCV 2008»
13 years 7 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
JMM2
2008
92views more  JMM2 2008»
13 years 7 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
ICMCS
2009
IEEE
132views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Video face recognition with graph-based semi-supervised learning
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
Effrosini Kokiopoulou, Pascal Frossard
ICCV
2007
IEEE
14 years 9 months ago
Hierarchical Semantics of Objects (hSOs)
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
Devi Parikh, Tsuhan Chen
SG
2010
Springer
14 years 21 days ago
Art 101: Learning to Draw through Sketch Recognition
iCanDraw is a drawing tool that can assist novice users to draw. The goal behind the system is to enable the users to perceive objects beyond what they know and improve their spati...
Tracy Hammond, Manoj Prasad, Daniel Dixon