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» Cross domain distribution adaptation via kernel mapping
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
AIME
2001
Springer
14 years 2 months ago
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
To cope with the difficulty of MRI brain scans automatic segmentation, we need to constrain and control the selection and the adjustment of processing tools depending on the local ...
Nathalie Richard, Michel Dojat, Catherine Garbay
VLSID
2008
IEEE
191views VLSI» more  VLSID 2008»
14 years 4 months ago
Programming and Performance Modelling of Automotive ECU Networks
The last decade has seen a phenomenal increase in the use of electronic components in automotive systems, resulting in the replacement of purely mechanical or hydraulic-implementa...
Samarjit Chakraborty, Sethu Ramesh
EXPCS
2007
14 years 1 months ago
The user in experimental computer systems research
Experimental computer systems research typically ignores the end-user, modeling him, if at all, in overly simple ways. We argue that this (1) results in inadequate performance eva...
Peter A. Dinda, Gokhan Memik, Robert P. Dick, Bin ...