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» Clustering with Local and Global Regularization
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ICML
2005
IEEE
14 years 8 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
WEBI
2004
Springer
14 years 1 months ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...
DLT
2007
13 years 9 months ago
Coding Partitions: Regularity, Maximality and Global Ambiguity
The canonical coding partition of a set of words is the finest partition such that the words contained in at least two factorizations of a same sequence belong to a same class. In...
Marie-Pierre Béal, Fabio Burderi, Antonio R...
NIPS
2001
13 years 9 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
CVPR
1996
IEEE
14 years 9 months ago
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global ...
Shanon X. Ju, Michael J. Black, Allan D. Jepson