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KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 7 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Loss tolerance scheme for 3D progressive meshes streaming over networks
– Nowadays, the Internet provides a convenient medium for sharing complex 3D models online. However, transmitting 3D progressive meshes over networks may encounter the problem of...
Hui Li, Ziying Tang, Xiaohu Guo, Balakrishnan Prab...
AVI
2010
15 years 8 months ago
Showtime: increasing viewer understanding of dynamic network visualisations
Visualisations of dynamic networks are animated over time, reflecting changes in the underlying data structure. As viewers of these visualisations, it is up to us to accurately pe...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
WSCG
2004
161views more  WSCG 2004»
15 years 8 months ago
Rendering Techniques for Hardware-Accelerated Image-Based CSG
Image-based CSG rendering algorithms for standard graphics hardware rely on multipass rendering that includes reading and writing large amounts of pixel data from and to the frame...
Florian Kirsch, Jürgen Döllner
NIPS
2003
15 years 8 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan