A TRANSFER LEARNING FOR LINE-BASED PORTRAIT SKETCH

A Transfer Learning for Line-Based Portrait Sketch

This paper presents a transfer learning-based framework that produces line-based portrait sketch images from portraits.The proposed framework produces sketch images using a GAN architecture, which is trained through a pseudo-sketch image dataset.The pseudo-sketch image Organization dataset is constructed from a single artist-created portrait sketch

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Radiation therapy after radical prostatectomy for prostate cancer: evaluation of complications and influence of radiation timing on outcomes in a large, population-based cohort.

PurposeTo evaluate the influence of timing of salvage and adjuvant radiation therapy on outcomes after prostatectomy for prostate cancer.MethodsUsing the Surveillance, Epidemiology, and End Results-Medicare linked database, we identified prostate cancer patients diagnosed during 1995-2007 who had one or more adverse pathological features after pros

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On the domain specificity of the human language faculty and the effects of principles of computational efficiency: contrasting language and mathematics

The growth of language in the individual is Bottle Stopper determined by genetics, experience and principles of computational efficiency.The latter are taken to be part of natural laws affecting the development of biological systems.We discuss the effect of two principles of computational efficiency applying to the derivation of linguistic expressi

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