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Can Infants Perceive and Learn New Information from Extended Reality? [PDF]

Dev Sci
Liu L, Condie B, Sutton J, Saba S, Blackwell A, Humaira F, Shoaib R, Arness D, Trescak T.   +8 more
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Changes in cognitive performance following repeated exposure to a hand-touch learning task across breed clades of domestic dogs (Canis familiaris). [PDF]

Anim Cogn
Azadian A, Protopopova A.
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Differential Operant Conditioning of Emotional-Motivational and Sensory-Discriminative Pain Responses. [PDF]

Eur J Pain
Flury ML, Löffler M, Gour S, Becker S.
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Discriminant Learning Analysis

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008
Linear discriminant analysis (LDA) as a dimension reduction method is widely used in classification such as face recognition. However, it suffers from the small sample size (SSS) problem when data dimensionality is greater than the sample size, as in images where features are high dimensional and correlated. In this paper, we propose to address the SSS
Jing, Peng, Peng, Zhang, Norbert, Riedel
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DISCRIMINATION LEARNING AND DISCRIMINATION LEARNING SETS IN SUBNORMAL CHILDREN*

British Journal of Educational Psychology, 1967
S ummary . The aim of the enquiry was to establish whether subnormal children have more difficulty than normals of comparable mental age in learning a visual discrimination and in forming a discrimination set.
E A, Lunzer, I, Hulme
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Discrimination Learning

Science, 1959
Eight rats were run through discrimination training sessions in which responses in the dark were not reinforced whereas the first response after the onset of a light was reinforced. The procedure generated orderly learning and latency data for the individual animal. The latency distributions are adequately described by a simple mathematical formulation.
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Learning Discriminant Face Descriptor

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
Local feature descriptor is an important module for face recognition and those like Gabor and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form of such local descriptors is predefined in a handcrafted way. In this paper, we propose a method to learn a discriminant face descriptor (DFD) in a data-driven way. The
Zhen, Lei, Matti, Pietikäinen, Stan Z, Li   +2 more
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Discriminative Learning Quadratic Discriminant Function for Handwriting Recognition

IEEE Transactions on Neural Networks, 2004
In character string recognition integrating segmentation and classification, high classification accuracy and resistance to noncharacters are desired to the underlying classifier. In a previous evaluation study, the modified quadratic discriminant function (MQDF) proposed by Kimura et al. was shown to be superior in noncharacter resistance but inferior
Cheng-Lin, Liu, Hiroshi, Sako, Hiromichi, Fujisawa   +2 more
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Transfer in Discrimination Learning

Child Development, 1965
Two types of pretraining preceded testing on the oddity problem for 4- and 6-year-old children and on the conditional-oddity problem for 9- and 12-year-old children. It was found that age factors were important determiners of transfer in both situations.
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