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SIAMMAX
2010
189views more  SIAMMAX 2010»
14 years 8 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
JMLR
2012
13 years 4 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
CVPR
2008
IEEE
16 years 3 months ago
Constrained spectral clustering through affinity propagation
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...
Miguel Á. Carreira-Perpiñán, ...
ICDE
2009
IEEE
169views Database» more  ICDE 2009»
16 years 3 months ago
Visible Reverse k-Nearest Neighbor Queries
Reverse nearest neighbor (RNN) queries have a broad application base such as decision support, profile-based marketing, resource allocation, data mining, etc. Previous work on RNN ...
Yunjun Gao, Baihua Zheng, Gencai Chen, Wang-Chien ...
213
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GIS
2008
ACM
16 years 3 months ago
Density based co-location pattern discovery
Co-location pattern discovery is to find classes of spatial objects that are frequently located together. For example, if two categories of businesses often locate together, they ...
Xiangye Xiao, Xing Xie, Qiong Luo, Wei-Ying Ma
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