scholarly journals From Low-Level to High-Level: Comparative Study of Music Similarity Measures

2009 ◽  
Author(s):  
Dmitry Bogdanov ◽  
Joan Serrà ◽  
Nicolas Wack ◽  
Perfecto Herrera
Keyword(s):  
Comparative Study ◽  
Similarity Measures ◽  
Music Similarity ◽  
Low Level ◽  
High Level

scholarly journals Unifying Low-Level and High-Level Music Similarity Measures

2011 ◽  
Vol 13 (4) ◽  
pp. 687-701 ◽  
Author(s):  
D. Bogdanov ◽  
J. Serra ◽  
N. Wack ◽  
P. Herrera ◽  
X. Serra
Keyword(s):  
Similarity Measures ◽  
Music Similarity ◽  
Low Level ◽  
High Level

Comparative Study Dynamics of Psychology of Pencak Silat Groups (Iks.Pi Kera Sakti, Persaudaraan Setia Hati Terate, Dan Pagarnusa)

2013 ◽  
Vol 1 (1) ◽  
pp. 114-119
Author(s):  
Imam Muzakky ◽  
Dwi Umi Novitasari ◽  
Siti Hamidah
Keyword(s):  
Comparative Study ◽  
Research Methods ◽  
Martial Arts ◽  
Quantitative Approach ◽  
High Type ◽  
Tolerance Level ◽  
Low Level ◽  
Empirical Paper ◽  
Wide Range ◽  
High Level

Indonesia as a country that offers a wide range of diversity offers its own uniqueness. But unfortunately the diversity it also has the potential for conflict ( Rahardjo , 2010) . Not only the conflict between cultures and groups, as happened in intercollegiate martial arts such as pagarnusa, PSHT and Kerasakti. Objective The purpose of this study to determine the level of aggressiveness, collective pride and tolerance in three martial arts college , this is one of the factors of conflict is high aggressiveness, collective pride and a low level of tolerance. Methodology/Technique The study involved 30 members pagarnusa , 30 members and 30 members kerasakti PSHT . Research methods with quantitative approach. Findings – The findings of this study are a group of college kerasakti have the highest tolerance, low aggression and collective pride being. PSHT has a high level of aggressiveness being and collective tolerance pride being, while the pagarnusa Group aggressiveness levels that are low tolerance level and collective pride high. Findings The findings of this study are a group of college kerasakti have the highest tolerance, low aggression and collective pride being. PSHT has a high level of aggressiveness being and collective tolerance pride being, while the pagarnusa Group aggressiveness levels that are low tolerance level and collective pride high. Type of Paper Empirical paper Keywords: Martial Arts, Aggressiveness, Tolerance , Collective Pride

A Comparative Study of the Lichens Occurring on the Geologically Distinctive Mountains Ben Loyal, Ben Hope and Foinaven

1986 ◽  
Vol 18 (1) ◽  
pp. 79-93 ◽  
Author(s):  
O. L. Gilbert ◽  
B. W. Fox
Keyword(s):  
Species Diversity ◽  
Comparative Study ◽  
Rare Species ◽  
Climatic Conditions ◽  
Major Site ◽  
Low Level ◽  
High Level ◽  
Northern Highlands

AbstractThe lichen floras occurring on high-level quartzite, Moine granulite, syenite and calcareous schist in the northern Highlands of Scotland are compared. Rock mineralogy is of overriding importance in determining the assemblages present, though this factor can be modified by extraneous nutrients. Local climatic conditions favour a cloud zone community dominated by ‘alectorioid’ species, produce stony ablation surfaces at a low level and allow maritime species to grow far inland. Ben Hope, with 34 ‘ rare ’ species recorded, is confirmed as a major site for alpine calcicolous lichens. Lecanora chlorophaeodes Nyl., a species new to Britain, is reported from the summit of Ben Loyal. In contrast, the extremely hard, acid, nutrient-deficient quartzite of Foinaven displayed a flora characterized by a very low species diversity.

scholarly journals Academic Performance as a Function of Level of Aspiration & Gender – A Comparative Study amongst Different Streams of Education

2016 ◽  
Vol 3 (3) ◽  
Author(s):  
Anshu Paliwal ◽  
Dr. Nanda Rathi
Keyword(s):  
Academic Performance ◽  
Comparative Study ◽  
Low Achievers ◽  
Low Level ◽  
Significant Difference ◽  
The Difference ◽  
High Level ◽  
Age Range ◽  
Level Of Aspiration ◽  
Better Than

The present study examines the level of aspiration of students belonging to different streams of education and its impact on academic performance. The sample of the study consisted of 717 students (358 males and 358 females). The age range of the sample was 18 to 19 years. Tool used for measuring level of aspiration was Level of Aspiration Measure developed by Dr. Mahesh Bhargava and Prof. M A Shah. Goal Discrepancy Score is the difference between aspiration and the achievement on the same trial. The percentiles of marks obtained in the last qualifying exam were treated as an indicator of academic performance. For inferential purpose the data was treated with ANOVA and Scheffe’s test of Multiple Comparison. The findings of the study revealed that no significant difference exists between Academic Performance of students with high and low achievers belonging to Engineering and Management streams of education; however there exists significant differences between academic performances of students with high and low Level of Aspiration belonging to Law fraternity; with students showing low Level of Aspiration performing better than students with high Level of Aspiration. There exists no significant difference between academic performance of boys and girls with respect to Level of Aspiration in engineering stream. However, there exists significant difference between academic performance of boys and girls with respect to Level of Aspiration in Management and Legal streams of education. In both the streams girls outshine boys.

scholarly journals Disentangling the Independent Contributions of Visual and Conceptual Features to the Spatiotemporal Dynamics of Scene Categorization

2020 ◽  
Author(s):  
Michelle R. Greene ◽  
Bruce C. Hansen
Keyword(s):  
Time Course ◽  
Brain Activity ◽  
Similarity Measures ◽  
Event Related Potentials ◽  
Event Related Potential ◽  
Scene Categorization ◽  
Low Level ◽  
Related Potentials ◽  
Single Fixation ◽  
High Level

AbstractHuman scene categorization is characterized by its remarkable speed. While many visual and conceptual features have been linked to this ability, significant correlations exist between feature spaces, impeding our ability to determine their relative contributions to scene categorization. Here, we employed a whitening transformation to decorrelate a variety of visual and conceptual features and assess the time course of their unique contributions to scene categorization. Participants (both sexes) viewed 2,250 full-color scene images drawn from 30 different scene categories while having their brain activity measured through 256-channel EEG. We examined the variance explained at each electrode and time point of visual event-related potential (vERP) data from nine different whitened encoding models. These ranged from low-level features obtained from filter outputs to high-level conceptual features requiring human annotation. The amount of category information in the vERPs was assessed through multivariate decoding methods. Behavioral similarity measures were obtained in separate crowdsourced experiments. We found that all nine models together contributed 78% of the variance of human scene similarity assessments and was within the noise ceiling of the vERP data. Low-level models explained earlier vERP variability (88 ms post-image onset), while high-level models explained later variance (169 ms). Critically, only high-level models shared vERP variability with behavior. Taken together, these results suggest that scene categorization is primarily a high-level process, but reliant on previously extracted low-level features.Significance StatementIn a single fixation, we glean enough information to describe a general scene category. Many types of features are associated with scene categories, ranging from low-level properties such as colors and contours, to high-level properties such as objects and attributes. Because these properties are correlated, it is difficult to understand each property’s unique contributions to scene categorization. This work uses a whitening transformation to remove the correlations between features and examines the extent to which each feature contributes to visual event-related potentials (vERPs) over time. We found that low-level visual features contributed first, but were not correlated with categorization behavior. High-level features followed 80 ms later, providing key insights into how the brain makes sense of a complex visual world.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

Determinants of Abuse of the Bodies of the Dead

2019 ◽  
pp. 71-77
Author(s):  
Margarita Khomyakova
Keyword(s):  
Low Income ◽  
Criminal Code ◽  
Value Judgments ◽  
Legal Norms ◽  
Low Level ◽  
Medical Institutions ◽  
Specific Object ◽  
The Subject ◽  
The Dead ◽  
High Level

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.

scholarly journals EXPRESS: Marketers Project Their Personal Preferences onto Consumers: Overcoming the Threat of Egocentric Decision Making

2021 ◽  
pp. 002224372199837
Author(s):  
Walter Herzog ◽  
Johannes D. Hattula ◽  
Darren W. Dahl
Keyword(s):  
Decision Making ◽  
Consumer Preferences ◽  
Research Question ◽  
Pilot Studies ◽  
Low Level ◽  
Marketing Managers ◽  
False Consensus Effect ◽  
False Consensus ◽  
High Level

This research explores how marketing managers can avoid the so-called false consensus effect—the egocentric tendency to project personal preferences onto consumers. Two pilot studies were conducted to provide evidence for the managerial importance of this research question and to explore how marketing managers attempt to avoid false consensus effects in practice. The results suggest that the debiasing tactic most frequently used by marketers is to suppress their personal preferences when predicting consumer preferences. Four subsequent studies show that, ironically, this debiasing tactic can backfire and increase managers’ susceptibility to the false consensus effect. Specifically, the results suggest that these backfire effects are most likely to occur for managers with a low level of preference certainty. In contrast, the results imply that preference suppression does not backfire but instead decreases false consensus effects for managers with a high level of preference certainty. Finally, the studies explore the mechanism behind these results and show how managers can ultimately avoid false consensus effects—regardless of their level of preference certainty and without risking backfire effects.

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