Sciweavers

Share
NCI
2004
142views Neural Networks» more  NCI 2004»
9 years 11 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
BILDMED
2008
147views Algorithms» more  BILDMED 2008»
9 years 12 months ago
Automatic Liver Segmentation Using the Random Walker Algorithm
In this paper we present a new method for fully automatic liver segmentation in computed tomography images. First, an initial set of seed points for the random walker algorithm is ...
Florian Maier, Andreas Wimmer, Grzegorz Soza, Jens...
CIS
2008
Springer
10 years 13 days ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...
ICPR
2010
IEEE
10 years 1 months ago
Triangle-Constraint for Finding More Good Features
We present a novel method for finding more good feature pairs between two sets of features. We first select matched features by Bi-matching method as seed points, then organize th...
Xiaojie Guo, Xiaochun Cao
3DPVT
2004
IEEE
148views Visualization» more  3DPVT 2004»
10 years 2 months ago
Surface Model Generation from Range Images of Industrial Environments
This paper presents an hybrid segmentation technique that combines both the speed of an edge based approach with the robustness of a surface based approach. It consists of three s...
Angel Domingo Sappa
books