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» Mixtures of Trees for Object Recognition
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NN
2002
Springer
161views Neural Networks» more  NN 2002»
13 years 5 months ago
AANN: an alternative to GMM for pattern recognition
The objective in any pattern recognition problem is to capture the characteristics common to each class from feature vectors of the training data. While Gaussian mixture models ap...
B. Yegnanarayana, S. P. Kishore
CVPR
2000
IEEE
14 years 7 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
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
AAAI
2011
12 years 5 months ago
A Scalable Tree-Based Approach for Joint Object and Pose Recognition
Recognizing possibly thousands of objects is a crucial capability for an autonomous agent to understand and interact with everyday environments. Practical object recognition comes...
Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox