Search results for "notation"
showing 10 items of 317 documents
ProGram data : The stories Snowman and Frog, where are you? [video corpus]
2016
"ProGram-aineisto, lumiukko- ja sammakkotarinat" koostuu suomalaisella viittomakielellä viitotuista tarinoista "Lumiukko" ("Snowman") ja "Sammakko, missä olet?" ("Frog, where are you?"). Aineisto on arkistoitu Kielipankkiin. Finnish Sign Language material collected in the ProGram project. The material consists of video files and their annotations in ELAN format. The material is archived in The Language Bank of Finland.
Connotations in Kenneth Grahame's The wind in the willows and its Finnish translation
2009
Oppijankieliaineistojen annotointi – esimerkkinä ICLFI:n annotoinnin prosessit, ongelmat ja ratkaisut
2014
This article illustrates the grammatical and error annotation of learner language with the help of the International Corpus of Learner Finnish (ICLFI). In particular, we will focus on issues arising from handling with at least semi-automatic methods a morphologically rich language. What makes this corpus special compared to, for example, English-language material, is the frequent variation in di" erent forms and related errors, both due to the rich morphology of the target language. This article begins with a description of the design and implementation process of both the grammatical and error annotation, followed by a brief introduction to the material for which the annotations were desig…
Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images
2022
Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…
Music mood annotation using semantic computing and machine learning
2015
Water polo game-related statistics in women’s international championships as a function of final score differences
2016
The aims of this study were: (i) to compare water polo game-related statistics by context (winning and losing teams) and final score differences (using three categories – “close” games, “unbalanced...
Social research evolution in management accounting : reflection using Bunge’s theory
2004
Abstract Actually Management Accounting is considered for an important group of researchers as a social science. This is a consequence of an evolution from an economic view to social-oriented perspectives. Following Mario Bunge’s theory, we establish that break point in 1980s. Until 1980s, the accounting research was dominated by an economic analysis with both utilitarian and cognitive objectives. The scientific growth was in surface , without any relevant change in the foundations of Management Accounting. The development of new concerns regarding social implications promotes a growth in-depth in the 1980s. Socio-economic analysis, both in interpretative and critical research, is developed…
Spatial Cognition 2020/1: Book of abstracts : August 2-4, 2021, University of Latvia
2021
Spatial Cognition is concerned with the acquisition, development, representation, organization, and use of knowledge about spatial objects in real, virtual or hybrid environments and processed by human or artificial agents. Spatial Cognition includes research from different fields insofar as they are concerned with cognitive agents and space, such as cognitive and developmental psychology, linguistics, computer science, geography, cartography, philosophy, neuroscience, and education. Research issues in the field range from the investigation of human spatial cognition to mobile robot navigation, including topics such as wayfinding, spatial planning, spatial learning, internal and external re…
Musical Feature and Novelty Curve Characterizations as Predictors of Segmentation Accuracy
2017
Novelty detection is a well-established method for analyzing the structure of music based on acoustic descriptors. Work on novelty-based segmentation prediction has mainly concentrated on enhancement of features and similarity matrices, novelty kernel computation and peak detection. Less attention, however, has been paid to characteristics of musical features and novelty curves, and their contribution to segmentation accuracy. This is particularly important as it can help unearth acoustic cues prompting perceptual segmentation and find new determinants of segmentation model performance. This study focused on spectral, rhythmic and harmonic prediction of perceptual segmentation density, whic…