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» Boosting Object Detection Using Feature Selection
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RIVF
2007
15 years 6 months ago
On-line Boosting for Car Detection from Aerial Images
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
LREC
2008
140views Education» more  LREC 2008»
15 years 6 months ago
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...
PPSN
2010
Springer
15 years 2 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
CVPR
2010
IEEE
16 years 7 days ago
Fast Polygonal Integration and Its Application in Extending Haar-like Features to Improve Object Detection
The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integrat...
Minh-Tri Pham, Viet-Dung Hoang, Tat-Jen Cham, Yang...
139
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ICIP
2009
IEEE
15 years 2 months ago
Main subject detection via adaptive feature selection
In this paper we present an algorithm which uses adaptive selection of low-level features for main subject detection. The algorithm first computes low-level features such as contr...
Cuong T. Vu, Damon M. Chandler