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» Shape Analysis by Graph Decomposition
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124
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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 3 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
STOC
2006
ACM
174views Algorithms» more  STOC 2006»
16 years 3 months ago
Edge-disjoint paths in Planar graphs with constant congestion
We study the maximum edge-disjoint paths problem in undirected planar graphs: given a graph G and node pairs s1t1, s2t2, . . ., sktk, the goal is to maximize the number of pairs t...
Chandra Chekuri, Sanjeev Khanna, F. Bruce Shepherd
92
Voted
IWCIA
2004
Springer
15 years 8 months ago
Integral Trees: Subtree Depth and Diameter
Regions in an image graph can be described by their spanning tree. A graph pyramid is a stack of image graphs at different granularities. Integral features capture important prope...
Walter G. Kropatsch, Yll Haxhimusa, Zygmunt Pizlo
130
Voted
SCIA
2005
Springer
158views Image Analysis» more  SCIA 2005»
15 years 9 months ago
A Graph Representation of Filter Networks
Abstract. Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finit...
Björn Svensson, Mats T. Andersson, Hans Knuts...
CVPR
2012
IEEE
13 years 6 months ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...