Fusion of External Context and Patterns - Learning from Video Streams
DOI: 10.1007/978-3-540-93905-4_4
关键词: Data mining 、 Bayesian probability 、 Fusion 、 Pattern recognition 、 Context variable 、 Artificial intelligence 、 Artificial neural network 、 Pattern recognition (psychology) 、 Computer science 、 Recursive form 、 Context (language use) 、 Video sequence
摘要: A mathematical model, which extends the Bayesian problem of pattern recognition by fusion external context variables and patterns is proposed investigated. Then, its empirical version discussed a learning algorithm for an orthogonal neural net proposed, takes into account. The has recursive form, well suited from stream patterns, arise when features are extracted video sequence.
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sci-hub.st 参考文章(8)
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