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» Objective reduction using a feature selection technique
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120
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ISBI
2004
IEEE
16 years 4 months ago
Nonlinear Dimension Reduction of fMRI Data: The Laplacian Embedding Approach
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Olivier D. Faugeras, Bertrand Thirion
126
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TRECVID
2007
15 years 4 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...
120
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CHI
2003
ACM
16 years 3 months ago
PhotoPhone entertainment
We demonstrate two complementary interaction techniques for electronic large displays that are designed for cameraequipped mobile phones. The first one enables the direct selectio...
Johan Thoresson
149
Voted
IJCV
2006
115views more  IJCV 2006»
15 years 3 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
110
Voted
ICPR
2010
IEEE
15 years 3 months ago
Optimization of Target Objects for Natural Feature Tracking
— This paper investigates possible physical alterations of tracking targets to obtain improved 6DoF pose detection for a camera observing the known targets. We explore the influe...
Lukas Gruber, Stefanie Zollmann, Daniel Wagner, Di...