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» Combinations of Weak Classifiers
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ICVGIP
2008
15 years 5 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
ICCV
2009
IEEE
16 years 9 months ago
Estimating Natural Illumination from a Single Outdoor Image
Given a single outdoor image, we present a method for estimating the likely illumination conditions of the scene. In particular, we compute the probability distribution over the su...
Jean-François Lalonde, Alexei A. Efros, Srinivasa...
ICPR
2008
IEEE
16 years 5 months ago
Change detection based on adaptive Markov Random Fields
Usually changes in remote sensing images go along with the appearance or disappearance of some edges. In addition, pixels located along the edges are likely to weakly influenced b...
Chunlei Huo, Hanqing Lu, Jian Cheng, Keming Chen, ...
CHI
2003
ACM
16 years 4 months ago
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
We describe and identify shortcomings in two statistics recently introduced to measure accuracy in text entry evaluations: the minimum string distance (MSD) error rate and keystro...
R. William Soukoreff, I. Scott MacKenzie
ICTAI
2007
IEEE
15 years 10 months ago
Prediction of Cerebral Aneurysm Rupture
Cerebral aneurysms are weak or thin spots on blood vessels in the brain that balloon out. While the majority of aneurysms do not burst, those that do would lead to serious complic...
Qiangfeng Peter Lau, Wynne Hsu, Mong-Li Lee, Ying ...