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PR
2010
156views more  PR 2010»
13 years 6 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
VMV
2004
150views Visualization» more  VMV 2004»
13 years 9 months ago
Hierarchical Shape-Adaptive Quantization for Geometry Compression
The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on pred...
Stefan Gumhold
SMI
2005
IEEE
111views Image Analysis» more  SMI 2005»
14 years 1 months ago
Smooth Adaptive Fitting of 3D Models Using Hierarchical Triangular Splines
The recent ability to measure quickly and inexpensively dense sets of points on physical objects has deeply influenced the way engineers used to represent shapes in CAD systems, ...
Alex Yvart, Stefanie Hahmann, Georges-Pierre Bonne...
ICCS
2009
Springer
14 years 2 months ago
Hierarchical Modelling and Model Adaptivity for Gas Flow on Networks
We are interested in the simulation and optimization of gas transport in networks. Different regions of the network may be modelled by different equations. There are three models...
Pia Bales, Oliver Kolb, Jens Lang
IPL
2007
95views more  IPL 2007»
13 years 7 months ago
Optimal implementations of UPGMA and other common clustering algorithms
In this work we consider hierarchical clustering algorithms, such as UPGMA, which follow the closest-pair joining scheme. We survey optimal O(n2)-time implementations of such algo...
Ilan Gronau, Shlomo Moran