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» Learning to Recognize Objects
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132
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ICCAD
2005
IEEE
151views Hardware» more  ICCAD 2005»
16 years 23 days ago
Architecture and details of a high quality, large-scale analytical placer
Modern design requirements have brought additional complexities to netlists and layouts. Millions of components, whitespace resources, and fixed/movable blocks are just a few to ...
Andrew B. Kahng, Sherief Reda, Qinke Wang
147
Voted
CVPR
2010
IEEE
16 years 8 days ago
What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer
Remarkable performance has been reported to recognize single object classes. Scalability to large numbers of classes however remains an important challenge for today's recogn...
Marcus Rohrbach, Michael Stark, Gyö Szarvas, Bern...
138
Voted
TEI
2010
ACM
125views Hardware» more  TEI 2010»
15 years 10 months ago
FlyEye: grasp-sensitive surfaces using optical fiber
This paper presents a method for prototyping grasp-sensitive surfaces using optical fibers. In this system one end of a fiber bundle is attached to an image sensor. The other en...
Raphael Wimmer
INTENSIVE
2009
IEEE
15 years 10 months ago
A Service for Data-Intensive Computations on Virtual Clusters
Digital Preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives a...
Rainer Schmidt, Christian Sadilek, Ross King
ICB
2009
Springer
134views Biometrics» more  ICB 2009»
15 years 10 months ago
A Model Based Approach for Expressions Invariant Face Recognition
This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach. The features extracted for the face image sequen...
Zahid Riaz, Christoph Mayer, Matthias Wimmer, Mich...