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ICPR
2008
IEEE
14 years 4 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
RECOMB
2008
Springer
14 years 10 months ago
A Phylogenetic Approach to Genetic Map Refinement
Following various genetic mapping techniques conducted on different segregating populations, one or more genetic maps are obtained for a given species. However, recombination analy...
Denis Bertrand, Mathieu Blanchette, Nadia El-Mabro...
MICCAI
2010
Springer
13 years 8 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
PODS
2004
ACM
96views Database» more  PODS 2004»
14 years 10 months ago
Roads, Codes and Spatiotemporal Queries
We present a novel coding-based technique for answering spatial and spatiotemporal queries on objects moving along a system of curves on the plane such as many road networks. We h...
Sandeep Gupta, Swastik Kopparty, Chinya V. Ravisha...
CVIU
2008
180views more  CVIU 2008»
13 years 10 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...