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ICCV
2003
IEEE
14 years 23 days 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...
KES
2005
Springer
14 years 29 days ago
Design of a Digital Forensics Image Mining System
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
Ross Brown, Binh Pham, Olivier Y. de Vel
MM
2004
ACM
129views Multimedia» more  MM 2004»
14 years 27 days ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
CIKM
2005
Springer
14 years 1 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
GRAPHITE
2003
ACM
14 years 22 days ago
Interactive visual method for motion and model reuse
We consider a repository of animation models and motions that can be reused to generate new animation sequences. For instance, a user can retrieve an animation of a dog kicking it...
Akanksha Huang, Zhiyong Huang, B. Prabhakaran, Con...