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	Author	Title	Year	Publication	Volume	Pages	Links
	Lu Yu; Vacit Oguz Yazici; Xialei Liu; Joost Van de Weijer; Yongmei Cheng; Arnau Ramisa	Learning Metrics from Teachers: Compact Networks for Image Embedding	2019	32nd IEEE Conference on Computer Vision and Pattern Recognition		2907-2916
	A. Martinez; Jordi Vitria	Learning mixture models using a genetic version of the EM algorithm.	2000	Pattern Recognition Letters	21	759–769
	A. Martinez; Jordi Vitria	Learning mixture models with the EM algorithm and genetic algorithms	1998	CVC Technical Report #23
	Lorenzo Porzi; Markus Hofinger; Idoia Ruiz; Joan Serrat; Samuel Rota Bulo; Peter Kontschieder	Learning Multi-Object Tracking and Segmentation from Automatic Annotations	2020	33rd IEEE Conference on Computer Vision and Pattern Recognition		6845-6854
	Javier Rodenas; Bhalaji Nagarajan; Marc Bolaños; Petia Radeva	Learning Multi-Subset of Classes for Fine-Grained Food Recognition	2022	7th International Workshop on Multimedia Assisted Dietary Management		17–26
	Ernest Valveny; Enric Marti	Learning of structural descriptions of graphic symbols using deformable template matching	2001	Proc. Sixth Int Document Analysis and Recognition Conf		455-459
	Jose Manuel Alvarez; Theo Gevers; Antonio Lopez	Learning photometric invariance for object detection	2010	International Journal of Computer Vision	90	45-61
	Jose Manuel Alvarez; Theo Gevers; Antonio Lopez	Learning Photometric Invariance from Diversified Color Model Ensembles	2009	22nd IEEE Conference on Computer Vision and Pattern Recognition		565–572
	I. Sorodoc; S. Pezzelle; A. Herbelot; Mariella Dimiccoli; R. Bernardi	Learning quantification from images: A structured neural architecture	2018	Natural Language Engineering	24	363-392
	Lei Kang; Lichao Zhang; Dazhi Jiang	Learning Robust Self-Attention Features for Speech Emotion Recognition with Label-Adaptive Mixup	2023	IEEE International Conference on Acoustics, Speech and Signal Processing
	Hana Jarraya; Oriol Ramos Terrades; Josep Llados	Learning structural loss parameters on graph embedding applied on symbolic graphs	2017	12th IAPR International Workshop on Graphics Recognition
	Jaume Gibert	Learning structural representations and graph matching paradigms in the context of object recognition	2009	CVC Technical Report	143
	Jose Marone; Simone Balocco; Marc Bolaños; Jose Massa; Petia Radeva	Learning the Lumen Border using a Convolutional Neural Networks classiﬁer	2016	19th International Conference on Medical Image Computing and Computer Assisted Intervention Workshop
	Lichao Zhang; Abel Gonzalez-Garcia; Joost Van de Weijer; Martin Danelljan; Fahad Shahbaz Khan	Learning the Model Update for Siamese Trackers	2019	18th IEEE International Conference on Computer Vision		4009-4018
	Mikel Menta; Adriana Romero; Joost Van de Weijer	Learning to adapt class-specific features across domains for semantic segmentation	2020	Arxiv

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