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PR
2008
85views more  PR 2008»
15 years 6 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
NECO
2006
157views more  NECO 2006»
15 years 6 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
PAMI
2006
183views more  PAMI 2006»
15 years 6 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen
SIAMSC
2008
192views more  SIAMSC 2008»
15 years 6 months ago
Surface Mesh Smoothing, Regularization, and Feature Detection
We describe a hybrid algorithm that is designed to reconstruct a piecewise smooth surface mesh from noisy input. While denoising, our method simultaneously regularizes triangle me...
Hui Huang, Uri M. Ascher
SIGIR
2008
ACM
15 years 6 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
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