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» Some Structural Complexity Aspects of Neural Computation
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CVPR
2003
IEEE
14 years 11 months ago
Learning Object Intrinsic Structure for Robust Visual Tracking
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
Qiang Wang, Guangyou Xu, Haizhou Ai
CVPR
2009
IEEE
15 years 4 months ago
Discriminative Structure Learning of Hierarchical Representations for Object Detection
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchica...
Paul Schnitzspan (TU Darmstadt), Mario Fritz (Univ...
SIGECOM
2009
ACM
112views ECommerce» more  SIGECOM 2009»
14 years 3 months ago
Network bargaining: algorithms and structural results
We consider models for bargaining in social networks, in which players are represented by vertices and edges represent bilateral opportunities for deals between pairs of players. ...
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna
EUROCRYPT
2000
Springer
14 years 19 days ago
General Secure Multi-party Computation from any Linear Secret-Sharing Scheme
We show that verifiable secret sharing (VSS) and secure multi-party computation (MPC) among a set of n players can efficiently be based on any linear secret sharing scheme (LSSS) f...
Ronald Cramer, Ivan Damgård, Ueli M. Maurer
IJCNN
2006
IEEE
14 years 3 months ago
A Mobile Vision System with Reconfigurable Intelligent Agents
— Performing face detection and tracking on a mobile robot in a dynamic environment is a challenging task with the real-time constraints. To realize a natural reactive behavior o...
Yan Meng