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Chapter and Conference Paper
Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous Labels
We propose Hetero-Labeled LDA (hLLDA), a novel semi-supervised topic model, which can learn from multiple types of labels such as document labels and feature labels (i.e., heterogeneous labels), and also accommod...
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Chapter and Conference Paper
Greedy Filtering: A Scalable Algorithm for K-Nearest Neighbor Graph Construction
Finding the k-nearest neighbors for every node is one of the most important data mining tasks as a primitive operation in the field of Information Retrieval and Recommender Systems. However, existing approaches t...
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Chapter and Conference Paper
A Simplified Privacy Preserving Message Delivery Protocol in VDTNs
In Vehicular Ad Hoc Networks (VANETs), because of high mobility of vehicles and frequent change of road segments, an end-to-end communication path between moving vehicles may not exist unfortunately. As a prom...
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Chapter and Conference Paper
Generating Balanced Classifier-Independent Training Samples from Unlabeled Data
We consider the problem of generating balanced training samples from an unlabeled data set with an unknown class distribution. While random sampling works well when the data is balanced, it is very ineffective...
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Chapter and Conference Paper
Software Implementation of Source Code Quality Analysis and Evaluation for Weapon Systems Software
DESIS(DEfense Software Information System) is being developed to manage and maintain weapon systems software as a whole in defense area. Main goal of the system is to evaluate software quality of weapon system...
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Chapter and Conference Paper
An Exploratory Study of the Positive Effect of Anger on Decision-Making in Business Contexts
Current studies have shown the significance of emotions in decision-making. The basic emotion of anger has been an especially interesting area of research in the field of neuro-economics. In this paper we pose...
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Chapter and Conference Paper
Design of Embedded Database Based on Hybrid Storage of PRAM and NAND Flash Memory
Andorid which is the popular smart phone OS uses a database system to manage its private data storage. Although the database system supports a powerful and lighteweight database engine, its performance is limi...
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Chapter and Conference Paper
Analysis on Interference Impact of LTE on DTV
TV White Spaces (TVWS) are freed up after transition from analog television to Digital Television (DTV). Some wireless communications are allowable to operate in TVWSs. Because TVWSs are located in the VHF and...
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Chapter and Conference Paper
Ranking Entities Similar to an Entity for a Given Relationship
This paper proposes a similarity ranking method for entities in the real world. Real world entities like people or objects often have some relationship between themselves. Finding such relationships from real ...
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Chapter and Conference Paper
Identification of Non-referential Zero Pronouns for Korean-English Machine Translation
The common use of null arguments is one of the most critical issues in pro-drop languages. When translating Korean into other languages, the omitted elements should be replaced with appropriate pronouns to get...
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Chapter and Conference Paper
A Robust Conditional Privacy-Preserving Authentication Protocol in VANET
Recently, Lu et al. proposed an efficient conditional privacy preservation protocol, named ECPP, based on group signature scheme for secure vehicular communications. However, ECPP dose not provide unlinkability a...
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Chapter and Conference Paper
Workspace Narrative Exploration: Overcoming Interruption-Caused Context Loss in Information Seeking Tasks
As digital libraries become more prevalent and as the amount of accessible online information grows, users often must consult diverse information collections in carrying out tasks. Simultaneously, the impact o...
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Chapter and Conference Paper
A Similarity Measure for Collaborative Filtering with Implicit Feedback
Collaborative Filtering(CF) is a widely accepted method of creating recommender systems. CF is based on the similarities among users or items. Measures of similarity including the Pearson Correlation Coefficie...
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Chapter and Conference Paper
Context-Aware Mobile AR System for Personalization, Selective Sharing, and Interaction of Contents in Ubiquitous Computing Environments
With advances in tracking and increased computing power, mobile AR systems are popular in our daily life. Researchers in mobile AR technology have emphasized the technical challenges involved in the limitation...
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Chapter and Conference Paper
Evaluation of Two Pointing Control Devices for a Cellular Phone
Increasing number of functions in a cellular phone requires an advanced interface beyond a simple menu selection. In this study two pointing devices - an optic sensor and a pointing stick- were examined, which...
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Chapter and Conference Paper
A Viable System for Tracing Illegal Users of Video
Typical uses of watermarks include copyright protection and disabling unauthorized access to content. Especially, copyright protection watermarks embed some information in the data to identify the copyright ho...
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Chapter and Conference Paper
Responsive Multimedia System for Virtual Storytelling
In this paper, we propose Responsive Multimedia System (RMS) for a virtual storytelling. It consists of three key components; Multi-modal Tangible User Interface (MTUI), a Unified Context-aware Application Mod...
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Chapter and Conference Paper
A Framework to Support QoS-Aware Usage of Web Services
Web services offer an easier, effective, efficient way to support a service paradigm. However, there is lack of adequate QoS support in using web services. In this paper, we propose a framework to support QoS ...
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Chapter and Conference Paper
Intelligent and Effective Digital Watermarking Scheme for Mobile Content Service
In this paper, digital watermarking scheme that is intelligent and effective in protecting a copyright of image data under image transformation such as scaling, rotation, and JPEG lossy compression is proposed...
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Chapter and Conference Paper
Iterative Denoising for Cross-Corpus Discovery
We consider the problem of statistical pattern recognition in a heterogeneous, high-dimensional setting. In particular, we consider the search for meaningful cross-category associations in a heterogeneous text...