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ICMCS
2005
IEEE
177views Multimedia» more  ICMCS 2005»
16 years 20 days ago
Comparison of Visual Features and Fusion Techniques in Automatic Detection of Concepts from News Video
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
Mika Rautiainen, Tapio Seppänen
IDEAL
2004
Springer
16 years 12 days ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
SI3D
2003
ACM
16 years 9 days ago
Interactive image-based rendering using feature globalization
Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user...
Daniel G. Aliaga, Dimah Yanovsky, Thomas A. Funkho...
TRECVID
2007
15 years 8 months ago
ENST/UOB/LU@TRECVID2007 HIGH LEVEL FEATURE EXTRACTION USING 2-LEVEL PIECEWISE GMM
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
16 years 1 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...