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ACL
2010
14 years 9 months ago
Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach
Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our pr...
Yabin Zheng, Zhiyuan Liu, Lixing Xie
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
15 years 6 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
CVPR
2010
IEEE
15 years 7 months ago
Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking
State-of-the-art image retrieval systems achieve scalability by using bag-of-words representation and textual retrieval methods, but their performance degrades quickly in the face...
Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum
MMM
2010
Springer
230views Multimedia» more  MMM 2010»
15 years 8 months ago
Learning Landmarks by Exploiting Social Media
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Y...
94
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ICIP
2003
IEEE
16 years 1 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...