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AAAI
2006
14 years 11 months ago
Tensor Embedding Methods
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
Guang Dai, Dit-Yan Yeung
NIPS
2004
14 years 11 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
APVIS
2009
14 years 11 months ago
Toward effective insight management in visual analytics systems
Although significant progress has been made toward effective insight discovery in visual sense making approaches, there is a lack of effective and efficient approaches to manage t...
Yang Chen, Jing Yang, William Ribarsky
CCS
2009
ACM
15 years 10 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
BMCBI
2007
171views more  BMCBI 2007»
14 years 9 months ago
An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed,
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Mui...