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ICCV
2003
IEEE
15 years 7 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
TOG
2008
180views more  TOG 2008»
15 years 1 months ago
Diffusion curves: a vector representation for smooth-shaded images
We describe a new vector-based primitive for creating smoothshaded images, called the diffusion curve. A diffusion curve partitions the space through which it is drawn, defining d...
Alexandrina Orzan, Adrien Bousseau, Holger Winnem&...
ICCCN
2007
IEEE
15 years 8 months ago
Reduce IP Address Fragmentation through Allocation
— The scalability of Internet addressing and routing has been a serious issue and becomes a more urgent problem today because of driving factors like IPv6. A radical impacting el...
Mei Wang, Larry Dunn, Wei Mao, Tao Chen
ECRTS
1998
IEEE
15 years 6 months ago
Using exact feasibility tests for allocating real-time tasks in multiprocessor systems
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems which allow higher processor utilization and enhanced schedulability by using exact...
Sergio Saez, Joan Vila i Carbó, Alfons Cres...
IMR
1999
Springer
15 years 5 months ago
Parallel Advancing Front Grid Generation
The primary focus of this project is to design and implement a parallel framework for an unstructured mesh generator based on the advancing front method (AFM). In particular, we t...
Rainald Löhner, Juan R. Cebral