1091 search results - page 117 / 219 » Learning Models for Predicting Recognition Performance |
311
Voted
BICA
2010
14 years 10 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
137
Voted
ISCI
2007
15 years 3 months ago
2007
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
126
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
152
Voted
FLAIRS
2007
15 years 5 months ago
2007
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
211
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...