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» Image Classification using Random Forests and Ferns
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JSW
2008
106views more  JSW 2008»
14 years 11 months ago
Hierarchical Image Segmentation by Structural Content
Image quality loss resulting from artifacts depends on the nature and strength of the artifacts as well as the context or background in which they occur. In order to include the im...
Nathir A. Rawashdeh, Shaun T. Love, Kevin D. Donoh...
DMIN
2008
190views Data Mining» more  DMIN 2008»
15 years 1 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
CVPR
2010
IEEE
14 years 12 months ago
Label propagation in video sequences
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
Vijay Badrinarayanan, Fabio Galasso, Roberto Cipol...
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
14 years 3 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
DICTA
2007
15 years 1 months ago
An in Depth Comparison of Four Texture Segmentation Methods
Texture segmentation is the process of partitioning an image into regions with different textures containing similar group of pixels. This paper presents a comparative study of fo...
Vamsi Krishna Madasu, Prasad K. D. V. Yarlagadda