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» On a theory of learning with similarity functions
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IVC
2007
176views more  IVC 2007»
14 years 11 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
CVPR
2008
IEEE
16 years 1 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
BMCBI
2006
172views more  BMCBI 2006»
14 years 12 months ago
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
SIGIR
2004
ACM
15 years 5 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 7 days ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims