The paper examines how people's judgements of proximity between two objects are influenced by the presence of a third object. In an experiment participants were presented with images containing three shapes in dif...
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The Growing Self Organizing Map (GSOM), a variant of the Self Organizing Map, is a dynamic feature map model used for knowledge discovery in high dimensional datasets. It has been used mainly to identify hidden patter...
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The orthography of Gǐkũyũ includes a number of accented characters to represent the entire vowel system. These characters are however not readily available on standard computer keyboards and are usually represented a...
The orthography of Gǐkũyũ includes a number of accented characters to represent the entire vowel system. These characters are however not readily available on standard computer keyboards and are usually represented as the nearest available character. This can render reading and understanding written texts more difficult. This paper describes a system that is able to automatically place these accents in Gǐkũyũ text on the basis of local graphemic context. This approach avoids the need for an extensive digital lexicon, typically not available for resource-scarce languages. Using an extended trigram based approach, the experiments show that this method can achieve a very high accuracy even with a limited amount of digitally available textual data. The experiments on Gǐkũyũ are contrasted with experiments on French, German and Dutch.
This paper presents the I-MAESTRO project which is supported by the European Community under the Information Society Technologies (IST) Sixth Framework Programme to develop interactive multimedia environments for tech...
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This paper presents the I-MAESTRO project which is supported by the European Community under the Information Society Technologies (IST) Sixth Framework Programme to develop interactive multimedia environments for technology-enhanced music learning and teaching. It discusses the general architecture, using cooperative environments, and focuses on the gesture support aspects of the project. The project explores novel solutions for music training in both theory and performance with particular focus on string instruments, building on recent innovations resulting from the development of computer and information technologies, by exploiting new pedagogical paradigms with cooperative and interactive self-learning environments, gesture interfaces, and augmented instruments.
The growing self organizing map (GSOM), a variant of the self organizing map, is a dynamic feature map model used for knowledge discovery in high dimensional datasets. It has been used mainly to identify hidden patter...
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The growing self organizing map (GSOM), a variant of the self organizing map, is a dynamic feature map model used for knowledge discovery in high dimensional datasets. It has been used mainly to identify hidden patterns in static data in an unsupervised manner. Several extensions to the GSOM that enable dynamic data analysis have been proposed. In this paper we discuss such an extension and its capabilities in discovering time variant patterns in datasets of seismic activity. The results obtained by processing clusters generated by the GSOM using the data skeleton model and spread factor extensions, emphasize the usability of the GSOM in dynamic data analysis.
This paper presents two different approaches utilizing statistical language model (SLM) and support vector machines (SVM) for sentence boundary detection of spontaneous Japanese. In the SLM-based approach, linguistic ...
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ISBN:
(纸本)9781604234497
This paper presents two different approaches utilizing statistical language model (SLM) and support vector machines (SVM) for sentence boundary detection of spontaneous Japanese. In the SLM-based approach, linguistic likelihoods and occurrence of pause are used to determine sentence boundaries. To suppress false alarms, heuristic patterns of end-of-sentence expressions are also incorporated. On the other hand, SVM is adopted to realize robust classification against a wide variety of expressions and speech recognition errors. Detection is performed by an SVM-based text chunker using lexical and pause information as features. We evaluated these approaches on manual and automatic transcription of spontaneous lectures and speeches, and achieved F-measures of 0.85 and 0.78, respectively.
Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS, JPEG2000, PNG, and CALIC were tested on an image dataset of 380+...
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Several popular lossless image compression algorithms were evaluated for the application of compressing medical infrared images. Lossless JPEG, JPEG-LS, JPEG2000, PNG, and CALIC were tested on an image dataset of 380+ thermal images. The results show that JPEG-LS is the algorithm with the best performance, both in terms of compression ratio and compression speed
This paper presents the design and implementation of a highly configurable and parameterised simulation model of storage systems called SIMRAID. We show that SIMRAID allows simulation to progress 3 orders of magnitude...
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ISBN:
(纸本)9781622763528
This paper presents the design and implementation of a highly configurable and parameterised simulation model of storage systems called SIMRAID. We show that SIMRAID allows simulation to progress 3 orders of magnitude faster than a full protocol simulation. This allows simulation of a full system warm-up as defined by the SPC-1 benchmark in approximately half a day instead of 500 days, making simulation more attractive. To demonstrate the use of this system, a case study into the effect of RAID controller cache size and write cache policy on the system performance has been undertaken. This case-study shows the diminishing return of addition of more cache memory along with showing that write back caching outperforms write through caching by 10%.
We present a novel trigger-based language model adaptation method oriented to the transcription of meetings. In meetings, the topic is focused and consistent throughout the whole session, therefore keywords can be cor...
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An integrated data management system is required for representing and managing indicative information from multiple sources describing the state of an enterprise. Current data management systems model enterprises that...
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An integrated data management system is required for representing and managing indicative information from multiple sources describing the state of an enterprise. Current data management systems model enterprises that are crisp. A crisp enterprise is one that is highly quantifiable; relationships are fixed and attributes are atomic valued. The premises for this paper are precise enterprises, data maybe uncertain; multiple sources of information do exist, but uncertainty may be described using different models
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