502 search results - page 42 / 101 » Sparse Subspace Clustering |
116
click to vote
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
137
click to vote
ICCS
2007
Springer
15 years 8 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
130
click to vote
MMM
2010
Springer
15 years 10 months ago
2010
Springer
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
120
click to vote
BMCBI
2008
15 years 2 months ago
2008
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...