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» Boosting Object Detection Using Feature Selection
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RIVF
2007
15 years 3 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 3 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
14 years 11 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
15 years 9 months 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...
ICIP
2009
IEEE
14 years 11 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