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» On Combining Classifiers
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CVPR
2010
IEEE
2187views Computer Vision» more  CVPR 2010»
14 years 5 months ago
3D Scene Priors for Road Detection
Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, curre...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez
ICVGIP
2008
13 years 10 months ago
Automated Flower Classification over a Large Number of Classes
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower da...
Maria-Elena Nilsback, Andrew Zisserman
ECML
2006
Springer
14 years 16 days ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
ICCV
2007
IEEE
14 years 10 months ago
Using Color Compatibility for Assessing Image Realism
Why does placing an object from one photograph into another often make the colors of that object suddenly look wrong? One possibility is that humans prefer distributions of colors...
Alexei A. Efros, Jean-François Lalonde
ICML
1998
IEEE
14 years 9 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam