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» Arguing from Experience to Classifying Noisy Data
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ICVS
2009
Springer
13 years 6 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
IROS
2009
IEEE
141views Robotics» more  IROS 2009»
14 years 3 months ago
Robust on-line model-based object detection from range images
— A mobile robot that accomplishes high level tasks needs to be able to classify the objects in the environment and to determine their location. In this paper, we address the pro...
Bastian Steder, Giorgio Grisetti, Mark Van Loock, ...
BIBE
2005
IEEE
14 years 2 months ago
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
Xian Xu, Aidong Zhang
CVPR
2010
IEEE
14 years 1 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
14 years 29 days ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...