Bayesian K-SVD Using Fast Variational Inference
نویسندگان
چکیده
منابع مشابه
Variational Bayesian Inference Note
When we use EM that uses maximum likelihood as a criterion to select the number of Gaussians, we face the problem of that as the complexity of model increases, the training likihood strictly improves, which means the larger number of Gaussians, the better fit of the training data (see Figure 1). We can see from this example, the traning log-likelihood can even become positive when some clusters...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2017
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2017.2681436