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» Constructing Category Hierarchies for Visual Recognition
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CVPR
2009
IEEE
16 years 4 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
MM
2006
ACM
218views Multimedia» more  MM 2006»
15 years 3 months ago
SmartLabel: an object labeling tool using iterated harmonic energy minimization
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...
Wen Wu, Jie Yang
CGF
2006
173views more  CGF 2006»
14 years 9 months ago
C-BDAM - Compressed Batched Dynamic Adaptive Meshes for Terrain Rendering
We describe a compressed multiresolution representation for supporting interactive rendering of very large planar and spherical terrain surfaces. The technique, called Compressed ...
Enrico Gobbetti, Fabio Marton, Paolo Cignoni, Marc...
CVPR
2009
IEEE
15 years 4 months ago
Recognizing realistic actions from videos
In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu, Jiebo Luo, Mubarak Shah
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 3 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton