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ICCV
2003
IEEE
14 years 3 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...
IJCAI
2003
13 years 11 months ago
Intelligent Techniques for Web Personalization
In this chapter we provide a comprehensive overview of the topic of Intelligent Techniques for Web Personalization. Web Personalization is viewed as an application of data mining a...
Sarabjot S. Anand, Bamshad Mobasher
IJRR
2008
95views more  IJRR 2008»
13 years 10 months ago
Legless Locomotion: A Novel Locomotion Technique for Legged Robots
We present a novel locomotion strategy called legless locomotion that allows a round-bodied legged robot to locomote approximately when it is high-centered. Typically, a high-cent...
Ravi Balasubramanian, Alfred A. Rizzi, Matthew T. ...
HASE
1998
IEEE
14 years 2 months ago
Combining Various Solution Techniques for Dynamic Fault Tree Analysis of Computer Systems
Fault trees provide a graphical and logical framework for analyzing the reliability of systems. A fault tree provides a conceptually simple modeling framework to represent the sys...
Ragavan Manian, Joanne Bechta Dugan, David Coppit,...
SMA
2008
ACM
122views Solid Modeling» more  SMA 2008»
13 years 9 months ago
Technical strategies for massive model visualization
Interactive visualization of massive models still remains a challenging problem. This is mainly due to a combination of ever increasing model complexity with the current hardware ...
Enrico Gobbetti, David J. Kasik, Sung-Eui Yoon