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ROBOCUP
2004
Springer
111views Robotics» more  ROBOCUP 2004»
13 years 10 months ago
Realtime Object Recognition Using Decision Tree Learning
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
Dirk Wilking, Thomas Röfer
ECCV
2008
Springer
14 years 6 months ago
Implementing Decision Trees and Forests on a GPU
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
Toby Sharp
SIGKDD
2000
96views more  SIGKDD 2000»
13 years 4 months ago
The MP13 Approach to the KDD'99 Classifier Learning Contest
The MP13 method is best summarized as recognition based on voting decision trees using "pipes" in potential space. Keywords Voting; Decision Tree; Potential Space
Vladimir Miheev, Alexei Vopilov, Ivan Shabalin
TNN
2008
178views more  TNN 2008»
13 years 4 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
SSPR
1998
Springer
13 years 8 months ago
Multi-interval Discretization Methods for Decision Tree Learning
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
Petra Perner, Sascha Trautzsch