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» Boosting Methods for Regression
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CVPR
2007
IEEE
16 years 5 months ago
Part-based Face Recognition Using Near Infrared Images
Recently, we developed NIR based face recognition for highly accurate face recognition under illumination variations [10]. In this paper, we present a part-based method for improv...
Ke Pan, ShengCai Liao, Zhijian Zhang, Stan Z. Li, ...
CVPR
2008
IEEE
16 years 5 months ago
Integrated feature selection and higher-order spatial feature extraction for object categorization
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
ICIP
2007
IEEE
16 years 5 months ago
Do Colour Interest Points Improve Image Retrieval?
In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image d...
Allan Hanbury, Julian Stöttinger, Nicu Sebe, ...
ICPR
2004
IEEE
16 years 4 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ECML
2004
Springer
15 years 8 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja