2750 search results - page 489 / 550 » The complexity of learning SUBSEQ(A) |
315
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
196
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
154
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
158
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IPMI
2001
Springer
16 years 7 months ago
2001
Springer
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
158
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...