Results 211 to 220 of about 176,051 (264)

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

open access: yesAdvanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui   +3 more
wiley   +1 more source
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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 0001   +2 more
openaire   +2 more sources

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 0001   +2 more
openaire   +2 more sources

Discrimination Learning and Inhibition

Science, 1966
Pigeons learned to discriminate between a white vertical line on a dark background (S+) and a monochromatic circle of light (S—) either with or without responses to S— (errors). Gradients of inhibition, which were centered around S—, and which had greater than zero slopes, were obtained only from those subjects who learned to discriminate with errors ...
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Note on Pitch Discrimination Learning

Perceptual and Motor Skills, 1968
Miller (1956) has suggested that the number of stimuli which can be identified in an "absolute" discrimination task is 7-1 2, about 2.8 bits of transmitted information. Considering the abiliry of the human operator to handle very large amounts of stimulus information, under optimum conditions one might intuitively expect absolute discrimination to ...
M A, Vianello, S H, Evans
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Discrimination Pretraining and Sound Learning

Perceptual and Motor Skills, 1965
Sound production learning as a function of sound discrimination learning was investigated. First grade Ss who were observed to utter /skrə'b/ for /srə'b/ were assigned to two discrimination pretraining groups ( N = 15 in each group): Group A, discrimination training on /skrə'b/-/srə'b/ and Group B, discrimination training on /sliyp/-/∫liyp/.
H, WINITZ, L, PREISLER
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Discrimination Learning Set in Children

1964
Publisher Summary This chapter reviews part of the literature on discrimination learning set. It is limited to one general topic-the nature of learning set-and one research topic— “response shift”—which is theoretically important and has received considerable attention in the research literature.
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