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Chapter and Conference Paper
Effective Fingerprint Classification by Localized Models of Support Vector Machines
Fingerprint classification is useful as a preliminary step of the matching process and is performed in order to reduce searching time. Various classifiers like support vector machines (SVMs) have been used to ...
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Chapter and Conference Paper
Agent-Based Evolutionary Labor Market Model with Strategic Coalition
A real-world labor market has complex worksite interactions between a worker and an employer. This paper investigates the behavior patterns of workers and employers with a job capacity and a job concentration ...
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Chapter and Conference Paper
BEAST: A Buffer Replacement Algorithm Using Spatial and Temporal Locality
Efficient buffer management is closely related to system performance. Thus, much research has been performed on various buffer management techniques. However, many of the proposed techniques utilize the tempor...
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Chapter and Conference Paper
BRUST: An Efficient Buffer Replacement for Spatial Databases
This paper presents a novel buffer management technique for spatial database management systems. Much research has been performed on various buffer management techniques in order to reduce disk I/O. However, m...
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Chapter and Conference Paper
WT-Heuristics: A Heuristic Method for Efficient Operator Ordering
In this paper, we focus on the processing of stream data whose characteristics vary unpredictably by over time. Particularly, we suggest a method which generates an efficient operator execution order called WT...
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Chapter and Conference Paper
An Efficient Encoding and Labeling for Dynamic XML Data
In order to efficiently determine structural relationships among XML elements and to avoid re-labeling for updates, much research about labeling schemes has been conducted, recently. However, a harmonic suppor...
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Chapter and Conference Paper
Ensemble Approaches of Support Vector Machines for Multiclass Classification
Support vector machine (SVM) which was originally designed for binary classification has achieved superior performance in various classification problems. In order to extend it to multiclass classification, on...
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Chapter and Conference Paper
Multiple Classifier Fusion Using k-Nearest Localized Templates
This paper presents a method for combining classifiers that uses k-nearest localized templates. The localized templates are estimated from a training set using C-means clustering algorithm, and matched to the dec...
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Chapter and Conference Paper
A Query Index for Stream Data Using Interval Skip Lists Exploiting Locality
To accelerate the query performance, diverse continuous que- ry index schemes have been proposed for stream data processing systems. In general, a stream query contains the range condition. Thus, by using rang...
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Chapter and Conference Paper
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure let users form a mobile social ...
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Chapter and Conference Paper
Online Gesture Recognition for User Interface on Accelerometer Built-in Mobile Phones
Recently, several smart phones are equipped with a 3D-accelerometer that can be used for gesture-based user interface (UI). In order to utilize the gesture UI for the real-time systems with various users, the ...
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Article
DICE: An Effective Query Result Cache for Distributed Storage Systems
Due to the proliferation of Internet and Intranet, the distributed storage systems have received a lot of attention. These systems span a large number of machines and store huge amount of data for a lot of use...
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Chapter and Conference Paper
A Hybrid Context-Aware Wearable System with Evolutionary Optimization and Selective Inference of Dynamic Bayesian Networks
Multiple sensor-based context inference systems can perceive users’ tasks in detail while it requires complicated recognition models with larger resources. Such limitations make the systems difficult to be use...
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Chapter and Conference Paper
An Efficient Data Access Method Exploiting Quadtrees on MapReduce Frameworks
Due to the advance of diverse techniques such as social networks and sensor networks, the volume of data to be processed has rapidly increased. After Google proposed the MapReduce framework which processes big...
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Article
An efficient parallel similarity matrix construction on MapReduce for collaborative filtering
Nowadays, the collaborative filtering becomes popular for recommendation systems. However, as the volume of data increases expansively, the construction of a similarity matrix becomes a performance bottleneck ...
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Article
Efficient two-dimensional Haar \(^+\) synopsis construction for the maximum absolute error measure
Several wavelet synopsis construction algorithms were previously proposed for optimal Haar \(^+\) ...