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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 9 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
RT
1998
Springer
15 years 8 months ago
Three Point Clustering for Radiance Computations
Abstract. There has been great success in speeding up global illumination computation in diffuse environments. The concept of clustering allows radiosity computations even for scen...
Marc Stamminger, Philipp Slusallek, Hans-Peter Sei...
MVA
2007
159views Computer Vision» more  MVA 2007»
15 years 5 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
CORR
2010
Springer
145views Education» more  CORR 2010»
15 years 4 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
CCGRID
2007
IEEE
15 years 10 months ago
Design and Implementation of a Middleware for Data Storage in Opportunistic Grids
Shared machines in opportunistic grids typically have large quantities of unused disk space. These resources could be used to store application and checkpointing data when the mac...
Raphael Y. de Camargo, Fabio Kon