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ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
15 years 2 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
15 years 2 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
ACCV
2010
Springer
14 years 11 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
127
Voted
TVCG
2011
126views more  TVCG 2011»
14 years 11 months ago
A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes
—This paper presents a study of gradient estimation methods for rendering unstructured-mesh volume data. Gradient estimation is necessary for rendering shaded isosurfaces and spe...
Carlos D. Correa, Robert Hero, Kwan-Liu Ma
IHI
2010
143views Healthcare» more  IHI 2010»
14 years 11 months ago
Mining and monitoring patterns of daily routines for assisted living in real world settings
In this paper we demonstrate a fully automated approach for discovering and monitoring patterns of daily activities. Discovering patterns of daily activities and tracking them can...
Parisa Rashidi, Diane J. Cook