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» Feature Selection from Huge Feature Sets
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CRV
2007
IEEE
137views Robotics» more  CRV 2007»
16 years 25 days ago
Quantitative Evaluation of Feature Extractors for Visual SLAM
We present a performance evaluation framework for visual feature extraction and matching in the visual simultaneous localization and mapping (SLAM) context. Although feature extra...
Jonathan Klippenstein, Hong Zhang
AMM
2011
118views more  AMM 2011»
15 years 1 months ago
From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering
—The number of resources or items that users can now access when navigating on the Web or using e-services, is so huge that these might feel lost due to the presence of too much ...
Armelle Brun, Sylvain Castagnos, Anne Boyer
FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
16 years 16 days ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain
ICPR
2010
IEEE
16 years 3 days ago
Discriminative Level Set for Contour Tracking
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
Wei Li
ICMCS
2009
IEEE
130views Multimedia» more  ICMCS 2009»
15 years 4 months ago
On improving the collision property of robust hashing based on projections
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
Regunathan Radhakrishnan, Wenyu Jiang, Claus Bauer