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172
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Non-linear dimensionality reductionmethods are powerful techniques to deal with
high-dimensional datasets. However, they often are susceptible to local minima
and perform poorly ...
138
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Interactive image segmentation traditionally involves the
use of algorithms such as Graph Cuts or Random Walker.
Common concerns with using Graph Cuts are metrication
artifacts ...
113
Voted
CVPR
1998
IEEE
16 years 5 months ago
1998
IEEE
In extended video sequences, individual frames are grouped into shots which are defined as a sequence taken by a single camera, and related shots are grouped into scenes which are...
114
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
133
Voted
ECCV
2002
Springer
16 years 5 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...