1301 search results - page 4 / 261 » Default Clustering from Sparse Data Sets |
136
Voted
CIS
2005
Springer
15 years 9 months ago
2005
Springer
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
132
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
128
Voted
ICCV
2001
IEEE
16 years 5 months ago
2001
IEEE
A framework for photo-realistic view-dependent image synthesis of a shiny object from a sparse set of images and a geometric model is proposed. Each image is aligned with the 3D m...
177
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ICPP
2000
IEEE
15 years 8 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
133
Voted
PAMI
2006
15 years 3 months ago
2006
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...