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CIKM
2008
Springer
14 years 19 days ago
REDUS: finding reducible subspaces in high dimensional data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
Xiang Zhang, Feng Pan, Wei Wang 0010
ICMLA
2007
14 years 2 days ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
AVI
2006
14 years 2 days ago
A taxonomy of ambient information systems: four patterns of design
Researchers have explored the design of ambient information systems across a wide range of physical and screen-based media. This work has yielded rich examples of design approache...
Zachary Pousman, John T. Stasko
GRAPHICSINTERFACE
2001
14 years 1 days ago
Efficient View-dependent Rendering of Terrains
Though considerable progress has been made with the view-dependent techniques in terrain visualization, the CPU overhead still precludes their wide application in many domains. Th...
Yadong Wu, Yushu Liu, Shouyi Zhan, Chunxiao Gao
HIS
2001
14 years 1 days ago
Linear Discriminant Text Classification in High Dimension
Abstract. Linear Discriminant (LD) techniques are typically used in pattern recognition tasks when there are many (n >> 104 ) datapoints in low-dimensional (d < 102 ) spac...
András Kornai, J. Michael Richards