Deep Kernel Learning with Application to Medical Image Annotation

Pages: 1346 - 1352
Published: Jul 1, 2018
Abstract
Deep learning methods achieve significant success in many machine learning problems. By increasing the model depth, deep model can learn very complex functions from large scale dataset. Kernel method induce a mapping from input space to certain high dimension feature space via a kernel function. Kernel method can achieve good generalization performance even with small training datasets. A proper kernel function would dramatically affect the...
Paper Details
Title
Deep Kernel Learning with Application to Medical Image Annotation
Published Date
Jul 1, 2018
Journal
Pages
1346 - 1352
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