List of Dissertation Abstract (Information Media and Environment Sciences)
NameSupervisor

Title

Abstract
In this dissertation, we first construct an annotated multilingual corpus for deeper sentiment
understanding that encompasses three languages (English, Japanese, and Chinese) and fourinternational topics (iPhone 6, Windows 8, Vladimir Putin, and Scottish Independence). Then, weYujie LU

Social Media Sentiment

propose a new deep learning paradigm to assimilate language differences for multilingual sentiment

Tatsunori

Analysis: Multilingualanalysis. We first pre-train monolingual word embeddings separately, then map word embeddings inMORI

Methodology and Monolingual

different spaces into a shared embedding space, and finally train parameter-sharing deep neural

Application

networks. The experimental results show that our paradigm is effective. Finally, we apply
monolingual sentiment analysis to unfolding public mood on social issues from microblogging forstock market sector index prediction. The experiments on ``food safety'' issue show that the proposed
method outperforms the word-level baseline in predictive power.
A lot of videos are recorded in many public places such as airports, stations, and operating rooms for

MasanoriTomoharu

A Study on Salient Event

SUGANUMA

NAGAO

Detection in Videos

security and postoperative evaluation. To utilize these videos effectively, automatic event detection
methods are essential. In particular, it is important to detect events which occur less frequently andimportant events. We refer to these events as salient events in this paper and propose methods todetect these salient events.

ShinichiAtsuhiro

YONEKURA

NAKAMOTO

Minor relation for
quadrangulations on closedsurfaces

In this paper, we proved that every bipartite quadrangulation on the projective plane can be reduced
to either K3,4 or K- -4,4, every non-bipartite quadrangulation can be reduced to K4 by using two
minor operations. Furthermore, we could show a sufficient condition for a bipartite quadrangulationon the projective plane to have a K3,4-minor by a single forbidden structure called the Q-structure.

Utilizing Evolutionary Artificial

This study aims to develop a novel approach for constructing brand equity measurement (BEM)

ShinyaTomoharu

Neural Network Models

models by incorporating evolutionary neural networks (ENNs). We demonstrated that applying

WATANUKI

NAGAO

for Alternative Approach ofENNs is an effective approach of implementing BEM models form viewpoints of Information

Brand Equity Engineeringscience as well as brand strategy, consumer information processing.

Attacks on cyber space have become aggressive and sophisticated. Therefore, it is required newSatomi SAITO

Tsutomu
MATSUMOTO

Detecting Malicious Behavior byAnalyzing Relations among
Multiple Servers Log

techniques for detecting malicious behavior from innumerous and various security log. This paper
presents the techniques for detecting malicious behavior from security log mixed with normal,malicious and unknown records. Our approach focuses on the relations among multiple servers log.
As a result, we report that our methods can detect stealthy attack instances that it is difficult to detectwith existing tools and that were not recognized widely.
In Structural stability problem posed by René F. Thom (1923-2002),

Shunsuke

Takashi

ICHIKINISHIMURA

A study on generic mappingsa stability of generic mappings in mapping spaces is investigated.

under constraint conditions fromOn the other hand, in this dissertation, some properties of generic mappings under constraint

the viewpoint of Singularity

conditions are investigated from the viewpoint of Singularity Theory. As some results on genericTheory

mappings under constraint conditions, some assertions on generic linear perturbations and someproperties of generic quadratic mappings of special types are given.
Single frame Super-Resolution (SR) is a technique to generate a high quality high-resolution image

YusukeTomoharu

NATSUINAGAO

Automatic Construction ofSingle Frame Super-Resolution
Using Evolutionary Computationfrom a low-resolution image. It is practical for a lot of applications, and is studied widely.
In general, however, single frame SR has trade-off between image quality and computational cost.
We propose a method for automatic construction of high speed and high precision SR operation thatcan be implemented with a small circuit, by realizing SR operation using evolutionary computationin accordance with training images.