As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the ...
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As information visualization matures as an academic research field, commercial spinoffs are proliferating, but success stories are harder to find. This is the normal process of emergence for new technologies, but the panel organizers believe that there are certain strategies that facilitate success. To teach these lessons, we have invited several key figures who are seeking to commercialize information visualization tools. The panelists make short presentations, engage in a moderated discussion, and respond to audience questions.
This paper discusses a fundamental notion and model of ubiquitous computing technology support learning (uLearning) system. In order to increase learners' social skills and support social interaction among learner...
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This paper discusses a fundamental notion and model of ubiquitous computing technology support learning (uLearning) system. In order to increase learners' social skills and support social interaction among learners, the authors design a collection of support tools; these tools serve for three processes: encounter, communication and collaboration. Furthermore, prototyping implementation of the social interaction support tools is introduced.
In the last decade, the statistical approach has found widespread use in machine translation both for written and spoken language and has had a major impact on the translation accuracy. The goal of this paper is to co...
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In the last decade, the statistical approach has found widespread use in machine translation both for written and spoken language and has had a major impact on the translation accuracy. The goal of this paper is to cover the state of the art in statistical machine translation. We would re-visit the underlying principles of the statistical approach to machine translation and summarize the progress that has been made over the last decade
We propose a training algorithm for multi-layered neural-network (NN) classifiers that improves the generalization ability, the ability to classify previously unseen patterns. A correlation term was added to the error...
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We propose a training algorithm for multi-layered neural-network (NN) classifiers that improves the generalization ability, the ability to classify previously unseen patterns. A correlation term was added to the error function of the standard back-propagation (BP) learning algorithm, and a new weight update rule was derived. The correlation term was to make hidden node activations positively correlated, and thus we called the algorithm the positive correlation learning (PCL). The PCL was tested with the standard benchmark problems, the breast cancer and diabetes problems, and the results exhibited that it can produce networks with high generalization ability. It has been known that the minimization of the information in hidden node activations, as well as decaying weights, improves the generalization performance. We here show empirically that the PCL not only reduces the information but also decays the weights effectively
In this paper, we discuss a haptically enhanced broadcasting system. Four stages of a proposed system are briefly analyzed: scene capture, edit, transmission, and display with haptic interaction. In order to show usef...
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ISBN:
(纸本)0769523102
In this paper, we discuss a haptically enhanced broadcasting system. Four stages of a proposed system are briefly analyzed: scene capture, edit, transmission, and display with haptic interaction. In order to show usefulness of the proposed system, a potential home shopping scenario is implemented.
This paper describes the computer supported ubiquitous learning system and the social interaction between learners. We define the ubiquitous learning with five prime attributes, and present a generalized social intera...
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ISBN:
(纸本)0769522491
This paper describes the computer supported ubiquitous learning system and the social interaction between learners. We define the ubiquitous learning with five prime attributes, and present a generalized social interaction support model for the ubiquitous learning. Moreover, in order to support learners with increasing social skill, a solution for constructing social interaction in ubiquitous learning environment is designed, which includes three major functions; encounter, communication and collaboration support functions.
In this paper, we consider the use of multiple acoustic features of the speech signal for robust speech recognition. We investigate the combination of various auditory based (mel frequency cepstrum coefficients, perce...
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In this paper, we consider the use of multiple acoustic features of the speech signal for robust speech recognition. We investigate the combination of various auditory based (mel frequency cepstrum coefficients, perceptual linear prediction, etc.) and articulatory based (voicedness) features. Features are combined by linear discriminant analysis and log-linear model combination based techniques. We describe the two feature combination techniques and compare the experimental results. Experiments performed on the large-vocabulary task VerbMobil II (German conversational speech) show that the accuracy of automatic speech recognition systems can be improved by the combination of different acoustic features.
The comparison of structural subsites in proteins is increasingly relevant to the prediction of their biological function. To address this problem, we present the Match Augmentation algorithm (MA). Given a structural ...
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ISBN:
(纸本)9812560467
The comparison of structural subsites in proteins is increasingly relevant to the prediction of their biological function. To address this problem, we present the Match Augmentation algorithm (MA). Given a structural motif of interest, such as a functional site, MA searches a target protein structure for a match: the set of atoms with the greatest geometric and chemical similarity. MA is extremely efficient because it exploits the fact that the amino acids in a structural motif are not equally important to function. Using motif residues ranked on functional significance via the Evolutionary Trace (ET), MA prioritizes its search by initially forming matches with functionally significant residues, then, guided by ET, it augments this partial match stepwise until the whole motif is found. With this hierarchical strategy, MA runs considerably faster than other methods, and almost always identifies matches in homologs known to have cognate functional sites. Second, in order to interpret matches, we further introduce a statistical method using nonparametric density estimation of the frequency distribution of structural matches. Our results show that the hierarchy of functional importance within structural motifs speeds up the search within targets, and points to a new method to score their statistical significance.
A novel advanced robotic residence, Intelligent Sweet Home (ISH), is developed at KAIST, Korea for testing advanced concepts for independent living of the elderly and the physically handicapped. The work focuses on hu...
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A novel advanced robotic residence, Intelligent Sweet Home (ISH), is developed at KAIST, Korea for testing advanced concepts for independent living of the elderly and the physically handicapped. The work focuses on human-friendly technical solutions for motion/mobility assistance, health monitoring, and advanced human-machine interfaces that provide easy control of both assistive devices and home-installed appliances. To improve the inhabitant's comfort, an intelligent bed, intelligent wheelchair and mechatronic transfer robot were developed. And, various interfaces based on hand gestures and voice, and health monitoring system were studied. This paper emphasizes the realization scheme of Intelligent Sweet Home and user evaluation by a physically handicapped person.
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