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» Quality Metrics in Learning Objects
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CVPR
2008
IEEE
14 years 10 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
CHI
1999
ACM
14 years 1 months ago
Learning and Performing by Exploration: Label Quality Measured by Latent Semantic Analysis
Models of learning and performing by exploration assume that the semantic distance between task descriptions and screen labels controls in part the usersÕ search strategies. Neve...
Rodolfo Soto
ECOOPW
1998
Springer
14 years 28 days ago
Object-Oriented Frameworks: Architecture Adaptability
Quality and economical aspects of software development are strictly related. Adaptability, as a feature of quality, fosters reuse and the resulting economies of scale. Domain anal...
Paolo Predonzani, Giancarlo Succi, Andrea Valerio,...
ICIP
2002
IEEE
14 years 10 months ago
No-reference perceptual quality assessment of JPEG compressed images
Human observers can easily assess the quality of a distorted image without examining the original image as a reference. By contrast, designing objective No-Reference (NR) quality ...
Hamid R. Sheikh, Zhou Wang, Alan C. Bovik
ICDE
2000
IEEE
168views Database» more  ICDE 2000»
14 years 10 months ago
PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Paolo Ciaccia, Marco Patella