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127
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ICASSP
2011
IEEE
14 years 7 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
145
Voted
ICMLA
2007
15 years 4 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
BMVC
1997
15 years 4 months ago
Multi-Level Probabilistic Relaxation
We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incor...
Maria Petrou, Majid Mirmehdi, M. Coors
150
Voted
NMR
2004
Springer
15 years 8 months ago
Probabilistic reasoning in dynamic multiagent systems
Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
Xiangdong An, Yang Xiang, Nick Cercone
122
Voted
CVPR
2000
IEEE
16 years 5 months ago
Robust and Efficient Skeletal Graphs
There has recently been significant interest in using repions based on abstractions of Blum's skeleton into a graph, for qualitative shape matching. The application of these ...
Pavel Dimitrov, Carlos Phillips, Kaleem Siddiqi