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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
16 years 6 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
VRST
2006
ACM
16 years 4 days ago
Dynamic load-balanced rendering for a CAVE system
Recently, PC clusters have been used to construct CAVE-like immersive projection displays. However, in order to improve the rendering performance of PC cluster-based CAVE systems,...
Tetsuro Ogi, Takaya Uchino
PDPTA
2007
15 years 7 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin
CVPR
2005
IEEE
16 years 8 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu
ICCV
2005
IEEE
16 years 8 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele