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» Quality Metrics in Learning Objects
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CVPR
2004
IEEE
14 years 10 months ago
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification
In video object classification, insufficient labeled data may at times be easily augmented with pairwise constraints on sample points, i.e, whether they are in the same class or n...
Rong Yan, Jian Zhang, Jie Yang, Alexander G. Haupt...
ICPR
2008
IEEE
14 years 3 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
ISQED
2006
IEEE
124views Hardware» more  ISQED 2006»
14 years 2 months ago
DFM Metrics for Standard Cells
Design for Manufacturability (DFM) is becoming increasingly important as process geometries shrink. Conventional design rule pass/fail is not adequate to quantify DFM compliance. ...
Robert C. Aitken
TSMC
1998
99views more  TSMC 1998»
13 years 8 months ago
Learning visually guided grasping: a test case in sensorimotor learning
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...
Ishay Kamon, Tamar Flash, Shimon Edelman
HT
2006
ACM
14 years 2 months ago
Implementation and evaluation of a quality-based search engine
In this paper, an approach for the implementation of a qualitybased Web search engine is proposed. Quality retrieval is introduced and an overview on previous efforts to implement...
Thomas Mandl