325 search results - page 28 / 65 » Novel iteration schemes for the Cluster Variation Method |
ECCV
2008
Springer
16 years 1 days 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....
ETS
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper reports two novel algorithms based on time-modulo reconstruction method intended for detection of the parametric faults in analogue-to-digital converters (ADC). In both ...
101
Voted
EUROMICRO
2000
IEEE
15 years 2 months ago
2000
IEEE
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
104
Voted
ICVGIP
2008
14 years 11 months ago
2008
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...