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ICCV
2003
IEEE
14 years 22 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...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 4 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
RECOMB
2007
Springer
14 years 7 months ago
QNet: A Tool for Querying Protein Interaction Networks
Molecular interaction databases can be used to study the evolution of molecular pathways across species. Querying such pathways is a challenging computational problem, and recent e...
Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan R...
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
14 years 2 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
MM
2010
ACM
221views Multimedia» more  MM 2010»
13 years 7 months ago
Building book inventories using smartphones
Manual generation of a book inventory is time-consuming and tedious, while deployment of barcode and radio-frequency identification (RFID) management systems is costly and afforda...
David M. Chen, Sam S. Tsai, Bernd Girod, Cheng-Hsi...