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» Adaptive Sampling for Geometric Problems over Data Streams
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ICCV
2009
IEEE
15 years 17 days ago
Domain Adaptive Semantic Diffusion for Large Scale Context-Based Video Annotation
Learning to cope with domain change has been known as a challenging problem in many real-world applications. This paper proposes a novel and efficient approach, named domain ada...
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah ...
CORR
2011
Springer
219views Education» more  CORR 2011»
13 years 2 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ICDE
2008
IEEE
108views Database» more  ICDE 2008»
14 years 9 months ago
Self-Join Size Estimation in Large-scale Distributed Data Systems
In this work we tackle the open problem of self-join size (SJS) estimation in a large-scale Distributed Data System, where tuples of a relation are distributed over data nodes whic...
Theoni Pitoura, Peter Triantafillou
CVPR
2011
IEEE
13 years 5 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
ISN
1999
Springer
139views Communications» more  ISN 1999»
13 years 12 months ago
Simplifying Real-Time Multimedia Application Development Using Session Descriptions
This paper presents a novel approach that simplifies real-time multimedia communication applications development and service provision. Such applications are no longer required to...
Sarom Ing, Steve Rudkin