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» Learning Models for Object Recognition
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167
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DAGM
2003
Springer
15 years 8 months ago
Real-Time Recognition of 3D-Pointing Gestures for Human-Machine-Interaction
We present a system capable of visually detecting pointing gestures and estimating the 3D pointing direction in real-time. We use Hidden Markov Models (HMMs) trained on different ...
Kai Nickel, Rainer Stiefelhagen
197
Voted
CAPTECH
1998
Springer
15 years 7 months ago
3D Part Recognition Method for Human Motion Analysis
A method for matching sequences from two perspective views of a moving person silhouette is presented. Regular (approximate uniform thickness) parts are detected on an image and a ...
Carlos Yániz, Jairo Rocha, Francisco J. Per...
176
Voted
ACIVS
2006
Springer
15 years 7 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
PR
2006
89views more  PR 2006»
15 years 3 months ago
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian fields (GF) have recently received considerable attention for dimension reduction and semi-supervised classification. In this paper we show how the GF framework can be us...
Jakob J. Verbeek, Nikos A. Vlassis
148
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ICMLA
2009
15 years 1 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...