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» Multiple Object Class Detection with a Generative Model
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ICCV
2009
IEEE
15 years 18 days ago
A Shape-Based Object Class Model for Knowledge Transfer
Object class models trained on hundreds or thousands of images have shown to enable robust detection. Transferring knowledge from such models to new object classes trained from ...
Michael Stark, Michael Goesele, Bernt Schiele
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
CVPR
2004
IEEE
14 years 9 months ago
Robust Color Object Detection Using Spatial-Color Joint Probability Functions
Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
David J. Crandall, Jiebo Luo
DKE
2011
251views Education» more  DKE 2011»
13 years 2 months ago
Generating operation specifications from UML class diagrams: A model transformation approach
One of the more tedious and complex tasks during the specification of conceptual schemas (CSs) is modeling the operations that define the system behavior. This paper aims to simpl...
Manoli Albert, Jordi Cabot, Cristina Gómez,...
ICIP
2009
IEEE
13 years 5 months ago
Generative model for abandoned object detection
This paper proposes an algorithm for abandoned object detection based on generative model of low level features. First, suspected blobs are detected by foreground detection and pi...
Jianting Wen, Haifeng Gong, Xia Zhang, Wenze Hu