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» The Localization Hypothesis and Machines
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PODC
2010
ACM
15 years 8 months ago
Distributed data classification in sensor networks
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
Ittay Eyal, Idit Keidar, Raphael Rom
CVPR
2008
IEEE
15 years 8 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
ECAI
2008
Springer
15 years 8 months ago
A probabilistic trust model for semantic peer-to-peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...
LREC
2008
104views Education» more  LREC 2008»
15 years 7 months ago
Performance Evaluation of Speech Translation Systems
One of the most challenging tasks for uniformed service personnel serving in foreign countries is effective verbal communication with the local population. To remedy this problem,...
Brian A. Weiss, Craig Schlenoff, Greg Sanders, Mic...
NIPS
2007
15 years 7 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...