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» Learning the distance metric in a personal ontology
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CIKM
2008
Springer
13 years 6 months ago
Learning the distance metric in a personal ontology
Personal ontology construction is the task of sorting through relevant materials, identifying the main topics and concepts, and organizing them to suit personal needs. Automatic c...
Hui Yang, Jamie Callan
ECCV
2008
Springer
14 years 6 months ago
Illumination and Person-Insensitive Head Pose Estimation Using Distance Metric Learning
Head pose estimation is an important task for many face analysis applications, such as face recognition systems and human computer interactions. In this paper we aim to address the...
Xianwang Wang, Xinyu Huang, Jizhou Gao, Ruigang Ya...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 5 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
MM
2009
ACM
203views Multimedia» more  MM 2009»
13 years 9 months ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...
WISE
2007
Springer
13 years 11 months ago
Learning Implicit User Interests Using Ontology and Search History for Personalization
Abstract. The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user’s interests and ...
Mariam Daoud, Lynda Tamine, Mohand Boughanem, Bila...