作者:
JONG-HOON OHKEY-SUN CHOIComputer Science Division
Department of EECS Korea Terminology Research Center for Language and Knowledge Engineering (KORTERM) Korea Advanced Institute of Science and Technology (KAIST) 373-1 Kusong-Dong Yusong-Gu Taejon 305-701 Korea
In this paper, we will describe a Korean transliterated foreign word extraction algorithm. In the proposed method, we reformulate the foreign word extraction problem as a syllable-tagging problem such that each syllab...
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In this paper, we will describe a Korean transliterated foreign word extraction algorithm. In the proposed method, we reformulate the foreign word extraction problem as a syllable-tagging problem such that each syllable is tagged with a foreign syllable tag or a pure Korean syllable tag. Syllable sequences of Korean strings are modelled by Hidden Markov Model whose state represents a character with binary marking to indicate whether the syllable is part of a transliterated foreign word or not. The proposed method extracts a transliterated foreign word with high recall rate and precision rate. Moreover, our method shows good performance even with small-sized training corpora.
Informal presentations are a lightweight means for fast and convenient communication of ideas. People communicate their ideas to others on paper and whiteboards, which afford fluid sketching of graphs, words and other...
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ISBN:
(纸本)1581136218
Informal presentations are a lightweight means for fast and convenient communication of ideas. People communicate their ideas to others on paper and whiteboards, which afford fluid sketching of graphs, words and other expressive symbols. Unlike existing authoring tools that are designed for formal presentations, we created SketchPoint to help presenters design informal presentations via freeform sketching. In SketchPoint, presenters can quickly author presentations by sketching slide content, overall hierarchical structures and hyperlinks. To facilitate the transition from idea capture to communication, a note-taking workspace was built for accumulating ideas and sketching presentation outlines. Informal feedback showed that SketchPoint is a promising tool for idea communication. Copyright 2003 ACM.
FePt in the L10 (tetragonal) phase is of interest due to its ease of synthesis as nanoparticles and because superparamagnetism is suppressed by the large magnetoanisotropy energy (MAE) of the L10 phase. Here we presen...
FePt in the L10 (tetragonal) phase is of interest due to its ease of synthesis as nanoparticles and because superparamagnetism is suppressed by the large magnetoanisotropy energy (MAE) of the L10 phase. Here we present the results of first-principles electronic-structure calculations that reveal a competition between ferromagnetic (FM) and antiferromagnetic (AFM) ordering of the alternating Fe planes, with energy differences less than room-temperature thermal energy. We find that the FM state is stabilized relative to the AFM state as L10 tetragonal distortion decreases or chemical (antisite) disorder increases on Pt planes. Inherently, then, there is a competition between stabilizing the FM state and maintaining the large MAE in FePt, and optimally maximizing both is important for nanomagnetic applications.
This paper introduces a mid-depth text understanding methodology. By mid-depth we mean that the methodology is: (1) based on shallow text understanding, (2) accomplished with currently available linguistic instruments...
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This paper introduces a mid-depth text understanding methodology. By mid-depth we mean that the methodology is: (1) based on shallow text understanding, (2) accomplished with currently available linguistic instruments, and (3) focused towards understanding texts as deeply as possible. To realize the methodology, we set up two new linguistic devices for sentence extraction — sentence abstraction and abductive chains. Sentence abstraction is processing for sentence revision with concept abstraction. Abductive chains are lexical chains with abduction. The chain consists of abductive links which connect coherent parts of abstracted sentences. It aims to identify the causal propensity described or implied in the text as well as to delineate its recurring concepts. With this methodology, a preliminary attempt at mid-depth text understanding is made to locate the topic sentences of a given text. We expect that this methodology will lead us to develop another practical text summarization system.
In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering e...
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In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering e...
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ISBN:
(纸本)0769518575
In applications such as scientific and medical visualization, highly detailed polygonal meshes are needed. Rendering these polygonal meshes usually exceeds the capabilities of graphics hardware. To improve rendering efficiency and maintain proper interactivity, the polygonal mesh simplification technique is commonly used to reduce the number of polygons of the mesh and construct a multiresolution representation. We propose a new and simple constraint scheme based on the quadric error metric proposed by Garland and Heckbert (1997, 1998) to preserve face colors and boundary edges during the simplification process. In addition, our method generates progressive meshes that store the polygonal mesh in a continuous multi-resolution representation. According to our experimental results, this new method is successful in preserving face colors and boundary edges. Moreover, we compare the latency of resolution changes for progressive meshes of various models.
For the effective and early diagnosis of brain diseases, we have developed an evaluation system for brain function using an Independent Component Analysis (ICA) method. This evaluation system benefits greatly from the...
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ISBN:
(纸本)9780769515823
For the effective and early diagnosis of brain diseases, we have developed an evaluation system for brain function using an Independent Component Analysis (ICA) method. This evaluation system benefits greatly from the newly emerged Grid. To embody a Grid environment, a Globus grid toolkit has been utilized as a building block. In this research we have distributed the computational workload for the ICA on a Globus based Grid environment composed of two Alpha cluster systems and a personal computer. In addition, in order to allow scientists and application developers to easily build the Grid-enabled system, we also have adopted a Grid-enabled-Message Passing Interface, called MPICH-G. An introduction of MPICH-G to the medical analysis system on a Grid environment makes it possible for a naïve user to realize rapid analysis without special knowledge of the Grid. Magnetoencephalography (MEG), a highly sophisticated medical technology, is used for the measurement of brain function. The proposed method has the ability to integrate various geographically distributed resources and to analyze functional brain data from MEG
A new technique utilizing combination of feature extraction by change vector analysis and analysis of distances between features allows improvement in change detection of linear features such as roads and water channe...
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A new technique utilizing combination of feature extraction by change vector analysis and analysis of distances between features allows improvement in change detection of linear features such as roads and water channels. The technique reduces false detection of changes due to image calibration differences, illumination differences and misregistration. The method was applied to areas of steep climatic gradient between Mediterranean and extreme desert regions.
An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spat...
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An artificial neural network (ANN) for change detection from multi-temporal satellite images, which was reported in I. Feldberg (2001), has been further developed and tested, as part of a study of an area of high spatio-temporal heterogeneity along a climatic gradient between humid and and climate regions. Four recognition classes, "positive change", "negative change", "false change", and "no change" were learned by a backpropagation feedforward ANN and then applied to Landsat images that were acquired over the study area in 1992 and 1997. A comparison with existing classification techniques indicates, in many instances, significantly improved performance due to the ANN developed.
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