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ICASSP
2009
IEEE

Multi-layer ratio Semi-Definite Classifiers

10 years 4 months ago
Multi-layer ratio Semi-Definite Classifiers
We develop a novel extension to the Ratio Semi-definite Classifier, a discriminative model formulated as a ratio of semi-definite polynomials. By adding a hidden layer to the model, we can efficiently train the model, while achieving higher accuracy than the original version. Results on artificial 2-D data as well as two separate phone classification corpora show that our multi-layer model still avoids the overconfidence bias found in models based on ratios of exponentials, while remaining competitive with state-of-the-art techniques such as multi-layer perceptrons.
Jonathan Malkin, Jeff Bilmes
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Jonathan Malkin, Jeff Bilmes
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