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ICCV
2003
IEEE
14 years 25 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...
CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Video copy detection by fast sequence matching
Sequence matching techniques are effective for comparing two videos. However, existing approaches suffer from demanding computational costs and thus are not scalable for large-sca...
Mei-Chen Yeh, Kwang-Ting Cheng
SIGIR
2009
ACM
14 years 2 months ago
CompositeMap: a novel framework for music similarity measure
With the continuing advances in data storage and communication technology, there has been an explosive growth of music information from different application domains. As an effe...
Bingjun Zhang, Jialie Shen, Qiaoliang Xiang, Ye Wa...
PVLDB
2010
111views more  PVLDB 2010»
13 years 2 months ago
Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic
The ever-increasing number of intrusions in public and commercial networks has created the need for high-speed archival solutions that continuously store streaming network data to...
Francesco Fusco, Marc Ph. Stoecklin, Michail Vlach...
CHI
2011
ACM
12 years 11 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais