503 search results - page 67 / 101 » Learning Semantic Concepts from Visual Data Using Neural Net... |
158
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SAC
2010
ACM
14 years 10 months ago
2010
ACM
This work proposes a new methodology for automatically validating the internal lighting system of an automotive, i.e., assessing the visual quality of an instrument cluster (IC) f...
117
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KDD
1998
ACM
15 years 8 months ago
1998
ACM
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
155
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MM
2009
ACM
15 years 10 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
139
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
133
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NIPS
1997
15 years 5 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...