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NIPS
2007
13 years 11 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
CVPR
2006
IEEE
15 years 9 days ago
Pursuing Informative Projection on Grassmann Manifold
Inspired by the underlying relationship between classification capability and the mutual information, in this paper, we first establish a quantitative model to describe the inform...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
ISBI
2004
IEEE
14 years 11 months ago
Enhancement of Microtubules In EM Tomography
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
Ming Jiang 0004, Qiang Ji, Bruce F. McEwen
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
14 years 10 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
EDBT
2004
ACM
131views Database» more  EDBT 2004»
14 years 10 months ago
Declustering Two-Dimensional Datasets over MEMS-Based Storage
Due to the large difference between seek time and transfer time in current disk technology, it is advantageous to perform large I/O using a single sequential access rather than mu...
Hailing Yu, Divyakant Agrawal, Amr El Abbadi