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SCIA
2005
Springer
166views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Clustering Based on Principal Curve
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
Ioan Cleju, Pasi Fränti, Xiaolin Wu
ECCV
2010
Springer
13 years 10 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
ACCV
2007
Springer
14 years 1 months ago
Image Segmentation Using Co-EM Strategy
Inspired by the idea of multi-view, we proposed an image segmentation algorithm using co-EM strategy in this paper. Image data are modeled using Gaussian Mixture Model (GMM), and t...
Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu
CVPR
2012
IEEE
11 years 10 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
BILDMED
2006
170views Algorithms» more  BILDMED 2006»
13 years 9 months ago
Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours
This paper presents a new approach to automated muscle fiber analysis based on segmenting myofibers with combined region and edge based active contours. It provides reliable and fu...
Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfga...