Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining - Concepts and Techniques.

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided.

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Opinion Mining and Sentiment Analysis

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model of the scene and image to model correspondences. Our photo explorer uses image-based rendering techniques to smoothly transition between photographs, while also enabling full 3D navigation and exploration of the set of images and world geometry, along with auxiliary information such as overhead maps. Our system also makes it easy to construct photo tours of scenic or historic locations, and to annotate image details, which are automatically transferred to other relevant images. We demonstrate our system on several large personal photo collections as well as images gathered from Internet photo sharing sites.

Photo tourism: exploring photo collections in 3D

We propose a method that identifies from Web pages pairs of keywords in which one word describes the other and uses these relations to modify the query. It takes into account the positions of the words in the page structures when counting their occurrences and applies statistical tests to examine the differences between word co-occurrence rates. It finds related keywords more robustly regardless of the word type than the conventional methods, which do not consider page structures. It can also identify subject and description keywords in the user's input and find additional keywords for detailing the query. By considering the document structures, our method can construct queries that are more focused on the user's topic of interest.

Query modification by discovering topics from Web page structures

Access control and authorization for CG data with multiple detail levels

Web search users often suffer from formulating keyword queries although their search intent may be clear Moreover, it is difficult for search engines to guess search intent from queries only We propose a new method for discovering search intents and for generating suggested queries of a given input Web search query to address these problems Precisely, we introduce the process which analyzes and structurizes corresponding Community Question-Answer corpus data: Finding question-answer pairs (QAs) related to a user's query, extracting keywords from QAs related to the user's intent, transforming QAs into a graph, and generating suggested queries using QA graphs

Search intent discovery by structurization of community QA contents

We propose in this paper a time-dependent link scheme for hypermedia. The management of the links accompanying updates in hypermedia is a major subject; in particular, it is an important problem in hypermedia dealing with content which depends on time. This scheme will realize the dynamic creation and expiration functions of links as well as the automatic link control function. We have packaged a prototype system called Mille-feuille using the proposed time-dependent link scheme and have confirmed the scheme's validity. This scheme can also be realized by using the extensible markup language (XML). © 2001 Scripta Technica, Syst Comp Jpn, 32(14): 54–66, 2001

A temporal link mechanism for hypermedia broadcasting

Media content presented to a vehicle driver is mainly auditory, since visual content is distracting and viewing it increases the risk of an accident. Music and radio are thus commonly listened to while driving. However, these types of content rarely reflect regional characteristics and are therefore not well suited for tourists who want to get information about the region they are visiting. We have developed the Blog Car Radio system that presents blog entries in auditory style using sonification (speech synthesis). Blog entries are obtained from blog search engines, selected by distances from the vehicles current location, and ranked based on their suitability for sonification and relevance to the userspecified category. By using Blog Car Radio, a driver can obtain local information with only a small amount of distraction. In this paper, we particularly discussed the method to rank text contents which is suitable for sonification.

Katsumi Tanaka

Papers

Query modification by discovering topics from Web page structures

Access control and authorization for CG data with multiple detail levels

Search intent discovery by structurization of community QA contents

A temporal link mechanism for hypermedia broadcasting

Ranking of Regional Blogs by Suitability for Sonification