id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_rzkgfz4kezcapoq6xv3r2tjqsu	Babak Saleh	Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature	2016	26	.pdf	application/pdf	8062	628	59	metric learning approaches to recognize Style, Genre and Artist of a painting. extract the appropriate visual features for paintings and find out the best approach to learn the similarity metric based on these features. list of visual features and metric learning approaches to learn an optimized similarity We develop a machine that is able to make aestheticrelated semantic-level judgments, such as predicting a painting's style, genre, and artist, Keywords: similarity metric, visual features, metric learning, convolutional neural networks, style, genre, artist Given the aforementioned challenges to engineering or learning suitable visual features for painting, in this how to adjust these features for diff erent classification tasks by learning the In order to classify paintings based on their style, genre or artist we features for the task of metric learning, visual features and learned metrics, visual features and learned metrics, Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature	./cache/work_rzkgfz4kezcapoq6xv3r2tjqsu.pdf	./txt/work_rzkgfz4kezcapoq6xv3r2tjqsu.txt