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» Computing Maximum-Scoring Segments in Almost Linear Time
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ICPR
2006
IEEE
14 years 8 months ago
Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier
2D projection imaging is a widely used procedure for vessel visualization. For the subsequent analysis of the vasculature, precise measurements of e.g. vessel area, vessel length ...
Alexandru Condurache, Til Aach
ICMLA
2008
13 years 8 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ICIP
2006
IEEE
14 years 9 months ago
Developing an Efficient Region Growing Engine for Image Segmentation
Image segmentation is a crucial part of image processing applications. Currently available approaches require significant computer power to handle large images. We present an effi...
Emanuel Gofman
CONCUR
2007
Springer
14 years 1 months ago
Linear Time Logics Around PSL: Complexity, Expressiveness, and a Little Bit of Succinctness
Abstract. We consider linear time temporal logic enriched with semiextended regular expressions through various operators that have been proposed in the literature, in particular i...
Martin Lange
BMCV
2000
Springer
13 years 11 months ago
A New Line Segment Grouping Method for Finding Globally Optimal Line Segments
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantage...
Jeong-Hun Jang, Ki-Sang Hong