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» Predicting building contamination using machine learning
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ECCV
2010
Springer
15 years 1 months ago
Predicting Facial Beauty without Landmarks
A fundamental task in artificial intelligence and computer vision is to build machines that can behave like a human in recognizing a broad range of visual concepts. This paper aims...
ICCV
2007
IEEE
15 years 4 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao
79
Voted
ICML
2009
IEEE
15 years 10 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
AIED
2007
Springer
15 years 3 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
87
Voted
ICMLA
2010
14 years 7 months ago
Using Randomised Vectors in Transcription Factor Binding Site Predictions
Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may ...
Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alis...