Same/Different Discrimination Techniques, Readiness Training, Pattern Treatment, and Sex on Aural Discrimination and Singing of Tonal Patterns by Kindergartners

1982 ◽  
Vol 30 (4) ◽  
pp. 237-246 ◽  
Author(s):  
Joyce Jordan-DeCarbo
Keyword(s):  
Training Pattern ◽  
Aural Discrimination ◽  
Tonal Patterns

scholarly journals An aggregate method for thorax diseases classification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bayu Adhi Nugroho
Keyword(s):  
Network Architecture ◽  
Classification Problem ◽  
Calculation Algorithm ◽  
Training Pattern ◽  
Deep Network ◽  
Network Training ◽  
Chest X Ray ◽  
Medical Image Classification ◽  
Positive Pattern

AbstractA common problem found in real-word medical image classification is the inherent imbalance of the positive and negative patterns in the dataset where positive patterns are usually rare. Moreover, in the classification of multiple classes with neural network, a training pattern is treated as a positive pattern in one output node and negative in all the remaining output nodes. In this paper, the weights of a training pattern in the loss function are designed based not only on the number of the training patterns in the class but also on the different nodes where one of them treats this training pattern as positive and the others treat it as negative. We propose a combined approach of weights calculation algorithm for deep network training and the training optimization from the state-of-the-art deep network architecture for thorax diseases classification problem. Experimental results on the Chest X-Ray image dataset demonstrate that this new weighting scheme improves classification performances, also the training optimization from the EfficientNet improves the performance furthermore. We compare the aggregate method with several performances from the previous study of thorax diseases classifications to provide the fair comparisons against the proposed method.

Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution

2002 ◽  
Vol 14 (5) ◽  
pp. 1183-1194 ◽  
Author(s):  
I. Galleske ◽  
J. Castellanos
Keyword(s):  
Neural Network ◽  
Covariance Matrix ◽  
Probabilistic Neural Network ◽  
Local Environment ◽  
Kernel Functions ◽  
Gaussian Kernel ◽  
Classification Rate ◽  
Training Pattern ◽  
The Neural Network ◽  
Pattern Distribution

This article proposes a procedure for the automatic determination of the elements of the covariance matrix of the gaussian kernel function of probabilistic neural networks. Two matrices, a rotation matrix and a matrix of variances, can be calculated by analyzing the local environment of each training pattern. The combination of them will form the covariance matrix of each training pattern. This automation has two advantages: First, it will free the neural network designer from indicating the complete covariance matrix, and second, it will result in a network with better generalization ability than the original model. A variation of the famous two-spiral problem and real-world examples from the UCI Machine Learning Repository will show a classification rate not only better than the original probabilistic neural network but also that this model can outperform other well-known classification techniques.

scholarly journals The 3 vs 1 game build-up effectiveness examination in physical and technical tests of 11-year-old football players

2014 ◽  
Vol 5 (1) ◽  
pp. 108-112
Author(s):  
Janos Tóth jr. ◽  
David Zalai ◽  
Janos Tóth ◽  
Pál Hamar
Keyword(s):  
Subjective Experience ◽  
Performance Level ◽  
Control Group ◽  
Football Players ◽  
Weekly Basis ◽  
Training Pattern ◽  
Technical Ability ◽  
One Year ◽  
Experimental Group

Summary Study aim: The aim of this study is to prove that young players who have been coached with the main focus on technical ability and player interaction, perform better when tested on physical and technical attributes. Material and methods: We examined 2 separate groups made up of 15 players each. After thorough analysis, the experimental group practiced playing forms to building up 3 vs 1 games weekly for one year. The control group did not follow this training pattern. Results: Over the course of the year there was a constant development in all aspects of the examination. Furthermore, both physical and technical attributes were significantly better . The same cannot be concluded from the analysis of the control group, in which the performance level even dropped in some aspects of the examination. Conclusion: The results show that players practicing the playing forms on a weekly basis performed better in physical and technical tests. In addition, subjective experience has also underlined the effect of the method.

scholarly journals SEQUENTIAL PHOTOGRAPHY OF COASTAL WATER

1972 ◽  
Vol 1 (13) ◽  
pp. 37
Author(s):  
Maynard M. Nichols
Keyword(s):  
Coastal Waters ◽  
Suspended Sediment Concentration ◽  
Sediment Concentration ◽  
Control Points ◽  
Dynamic Features ◽  
Density Control ◽  
Causal Processes ◽  
Tonal Patterns ◽  
Quantitative Analyses ◽  
Digital Or

Sequential photographs from aircraft and satellites provide a source of data for studying dynamic features of coastal waters. Procedures for detecting features in sequential photos follow two approaches; (1) application of sequential signatures, (2) simple comparative analysis. For quantitative analyses images of two or more frames must have proper registration and comparable tones, i.e. tones free of photographic variance from film processing, varying exposure and solar illumination. After a normalization correction for variance is determined through use of density control points, density of successive frames is measured with a microdensitometer, the correction is a.pplied and tonal differences determined. Such differences relate to the time character of a feature and to causal processes. Application of correction values and numerical differencing is best accomplished in a digital or computerized densitometer. However, corrections and differencing can also be accomplished graphically from line traces or plots of an objective densitometer. Application of the procedures is demonstrated by analyses of tonal patterns of suspended sediment concentration in an estuary.

scholarly journals Lexical tone contrast in Izon as ubiquitous floating tone

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Nicholas Rolle
Keyword(s):  
Empirical Support ◽  
Lexical Tone ◽  
Tonal Patterns ◽  
Lexical Items ◽  
Low Tone

This paper establishes the lexical tone contrasts in the Nigerian language Izon, focusing on evidence for floating tone. Many tonal languages show effects of floating tone, though typically in a restricted way, such as occurring with only a minority of morphemes, or restricted to certain grammatical environments. For Izon, the claim here is that all lexical items sponsor floating tone, making it ubiquitous across the lexicon and as common as pre-associated tone. The motivation for floating tone comes from the tonal patterns of morphemes in isolation and within tone groups. Based on these patterns, all lexical morphemes are placed into one of four tone classes defined according to which floating tones they end in. This paper provides extensive empirical support for this analysis and discusses several issues which emerge under ubiquitous floating tone. Issues include the principled allowance of OCP(T) violations, and the propensity for word-initial vowels and low tone to coincide.

scholarly journals Substance matters: a reply to Jardine (2016)

Phonology ◽  
2018 ◽  
Vol 35 (1) ◽  
pp. 151-156 ◽  
Author(s):  
Joe Pater
Keyword(s):  
Optimality Theory ◽  
Constraint Set ◽  
Tonal Patterns ◽  
Formal Distinction

Jardine (2016) claims that tonal phonology is more formally complex than the phonology of other segmental features, in that only tonal phonology goes beyond the class of weakly deterministic maps. He then goes on to argue that this formal distinction is superior to any available treatment in Optimality Theory. This reply points out that Jardine's formal distinction conflates attested and unattested tonal patterns, which can be distinguished in Optimality Theory, given a substantively defined constraint set.

Whitening fossils for photographic purposes

1989 ◽  
Vol 4 ◽  
pp. 342-346 ◽  
Author(s):  
Rodney M. Feldmann
Keyword(s):  
Ammonium Chloride ◽  
False Information ◽  
Tonal Pattern ◽  
Tonal Patterns ◽  
Non Destructive ◽  
Topographic Relief

The purpose of photographing fossils for study and for publication is to provide information regarding the morphology of the fossil. Typically, this morphology is expressed as topographic relief. Tonal patterns and color rarely serve to enhance the expression of morphology and may, instead, provide false information. As a result, it is desirable typically to eliminate, or reduce, the effects of variations in tonal pattern over the surface to be photographed to emphasize aspects of relief of the specimen and, therefore, actual expressions of morphology. Furthermore, uncoated specimens may be lustrous so that lighting the specimen for photography may produce undesirable highlights. A simple, and non-destructive, technique for whitening fossil specimens involves the application of ammonium chloride sublimate to the surface of the specimen (Figure 1). This coating is non-destructive, produces a uniform, nonlustrous white surface that enhances detail, and can be readily removed without damage to the specimen.

scholarly journals Estimates of internal templates for the detection of sequential tonal patterns

2008 ◽  
Vol 124 (6) ◽  
pp. 3831-3840 ◽  
Author(s):  
Rong Huang ◽  
Virginia M. Richards
Keyword(s):  
Tonal Patterns
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