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» The Learning Power of Evolution
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LPE
1997
15 years 5 months ago
Visualizing Solutions with Viewers
Visualization can be a powerful aid for learning a programming language. It may be used to reinforce central language concepts. In the context of Prolog and CLP-languages, however...
Ulrich Neumerkel, Christoph Rettig, Christian Scha...
147
Voted
BMEI
2009
IEEE
15 years 4 months ago
A Kurtosis and Skewness Based Criterion for Model Selection on Gaussian Mixture
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
Lin Wang, Jinwen Ma
147
Voted
DICTA
2009
15 years 4 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
123
Voted
ICANN
2010
Springer
15 years 4 months ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg
102
Voted
CORR
2010
Springer
76views Education» more  CORR 2010»
15 years 3 months ago
Nonadaptive quantum query complexity
We study the power of nonadaptive quantum query algorithms, which are algorithms whose queries to the input do not depend on the result of previous queries. First, we show that an...
Ashley Montanaro