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Unsupervised distance learning by reciprocal kNN distance for image retrieval
(2014-01-01)
This paper presents a novel unsupervised learning approach that takes into account the intrinsic dataset structure, which is represented in terms of the reciprocal neighborhood references found in different ranked lists. ...
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances
(2018-06-05)
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al. [“Classification of segments in PolSAR imagery ...
DISTANCE EDUCATION IN NURSING GRADUATION COURSES: APPLICATION AND EFFECTIVENESS
(Unesp-faculdade Ciencias & Letras, 2017-10-01)
Distance education (EaD) was first recognized in the Law of Guidelines and Bases of Education (LBD) in 1996 and refers to a teaching-learning modality where students and tutors are separated yet connected through various ...
Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru
(Pontificia Universidad Católica del Perú, 2023)
Visuo-motor interaction in the estimation of distance: athletes vs. no athletes
(Springer, 2015-03)
To build a representation of the space surrounding us with an appropriate perceptual precision, our brain has to obtain the distance information from a variety of cues that are present in the scene. But these data are ...