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NIPS
2000
15 years 3 months ago
Kernel Expansions with Unlabeled Examples
Modern classification applications necessitate supplementing the few available labeled examples with unlabeled examples to improve classification performance. We present a new tra...
Martin Szummer, Tommi Jaakkola
NIPS
1996
15 years 3 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
BILDMED
2009
160views Algorithms» more  BILDMED 2009»
15 years 3 months ago
A Scale-Space Approach for Image Registration of Vessel Structures
Abstract. We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morph...
Stefan Heldmann, Nils Papenberg
126
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ICANN
2010
Springer
15 years 2 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
CSDA
2008
122views more  CSDA 2008»
15 years 2 months ago
Time-adaptive quantile regression
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
Jan Kloppenborg Møller, Henrik Aalborg Niel...