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CVPR
2010
IEEE
15 years 4 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 4 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
16 years 8 months ago
MultiRelational k-Anonymity
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much...
Mehmet Ercan Nergiz, Chris Clifton, A. Erhan Nergi...
ISVC
2009
Springer
16 years 1 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll
CCGRID
2007
IEEE
16 years 1 months ago
Executing Large Parameter Sweep Applications on a Multi-VO Testbed
Applications that span multiple virtual organizations (VOs) are of great interest to the eScience community. However, recent attempts to execute large-scale parameter sweep applic...
Shahaan Ayyub, David Abramson, Colin Enticott, Sla...