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CVPR
2012
IEEE
13 years 9 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
SCAM
2005
IEEE
16 years 23 days ago
Fine-Grained Analysis of Change Couplings
In software evolution analysis, many approaches analyze release history data available through versioning systems. The recent investigations of CVS data have shown that commonly c...
Beat Fluri, Harald Gall, Martin Pinzger
SCCC
2003
IEEE
16 years 13 days ago
Improved Deletions in Dynamic Spatial Approximation Trees
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alte...
Gonzalo Navarro, Nora Reyes
IDA
2003
Springer
16 years 11 days ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
TVCG
2008
96views more  TVCG 2008»
15 years 7 months ago
Visualization of Cellular and Microvascular Relationships
Understanding the structure of microvasculature structures and their relationship to cells in biological tissue is an important and complex problem. Brain microvasculature in parti...
David Mayerich, Louise Abbott, John Keyser