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» Learning from Multiple Sources of Inaccurate Data
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121
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CVPR
2006
IEEE
16 years 5 months ago
A Conic Section Classifier and its Application to Image Datasets
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
Arunava Banerjee, Santhosh Kodipaka, Baba C. Vemur...
159
Voted
BMCBI
2010
126views more  BMCBI 2010»
15 years 28 days ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
343
Voted
NAR
2011
374views Computer Vision» more  NAR 2011»
14 years 10 months ago
The BioGRID Interaction Database: 2011 update
The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms ...
Chris Stark, Bobby-Joe Breitkreutz, Andrew Chatr-a...
122
Voted
WWW
2006
ACM
16 years 4 months ago
A pruning-based approach for supporting Top-K join queries
An important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. T...
Jie Liu, Liang Feng, Yunpeng Xing
CVPR
2006
IEEE
16 years 5 months ago
Multi-Resolution Patch Tensor for Facial Expression Hallucination
In this paper, we propose a sequential approach to hallucinate/synthesize high-resolution images of multiple facial expressions. We propose an idea of multi-resolution tensor for ...
Kui Jia, Shaogang Gong