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

In this paper, we propose an idea of changing the view of web-pages and their link structures by user’s link navigation history and predefined semantic units of web pages. The major objective of the proposed method is to reflect web page author(creator)’s intention about his/her web data and its linking structures. In our navigation-dependent web views, the view of each web page including its hyperlinks is changed according to which link navigation the user took to reach the web page. If user obeys link navigation that is intended by the author, the system will provide necessary and sufficient view of the web-page including all the predefined hyperlinks. Otherwise, our mechanism adds information of unvisited pages to user’s view and hides some hyperlinks.

Navigation-Dependent Web-Views: Defining and Controlling Semantic Unit of Web Pages

Web searchers often use a Web search engine to find a way or means to achieve his/her goal. For example, a user intending to solve his/her sleeping problem, the query “sleeping pills” may be used. However, there may be another solution to achieve the same goal, such as “have a cup of hot milk” or “stroll before bedtime.” The problem is that the user may not be aware that these solutions exist. Thus, he/she will probably choose to take a sleeping pill without considering these solutions. In this study, we define and tackle the alternative action mining problem. In particular, we attempt to develop a method for mining alternative actions for a given query. We define alternative actions as actions which share the same goal and define the alternative action mining problem as similar in the search result diversification. To tackle the problem, we propose leveraging a community Q&A (cQA) corpus for mining alternative actions. The cQA corpus can be seen as an archival dataset comprising dialogues between questioners, who want to know the solutions to their problem, and respondents, who suggest different solutions. We propose a method to compute how well two actions can be alternative actions by using a question-answer structure in a cQA corpus. Our method builds a question-action bipartite graph and recursively computes how well two actions can be alternative actions. We conducted experiments to investigate the effectiveness of our method using two newly built test collections, each containing 50 queries. The experimental results indicated that, for Japanese test collection, our proposed method significantly outperformed two types of baselines, one used the conventional query suggestions and the other extracted alternative-actions from the Web documents, in terms of D#-nDCG@8. Also, for English test collection, our method significantly outperformed the baseline using the conventional query suggestions in terms of D#-nDCG@8.

Mining Alternative Actions from Community Q&A Corpus

This paper proposes a method to improve the precison of Web retrieval based on proximity and density of keywords for two-keyword queries. In addition, filtering keywords by semantic relationships also be used. We have implemented a system that re-ranks Web search results based on three measures: first-appearance term distance, minimum term distance, and local appearance density. Furthermore, the system enables the user to assign weights to the new rank and original ranks so that the result can be presented in order of the combined rank. We built a prototype user interface in which the user can dynamically change the weights on two different ranks. The result of the experiment showed that our method improves the precision of Web search results for two-keyword queries.

Web Search Improvement Based on Proximity and Density of Miltiple Keywords

We propose a framework for a user adaptation, called Adaptation Anywhere & Anytime(“A3”). User profiles for a user adaptation are automatically constructed and shared between web sites on A3. We also provide web-sites authors with a simple method for building an adaptive web site on A3 using XSLT.

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How to build an adaptive web site: A Framework for User Adaptation

Ubiquitous data acquisition/access environments are dynamic because the number and kinds of devices used to access information are constantly changing. System designers must often identify and incorporate devices and implement ad-hoc application systems based on the environment to execute tasks. The constant change in the environment and the huge number of devices make it difficult and time-consuming for system designers to construct application systems using existing programming styles. We propose a system construction platform based on a relational database mechanism. Devices and the functions are regarded as tables, tuples, and SQL queries. This platform makes it easy to manage huge numbers of devices in a ubiquitous data acquisition/access environment and provides a method of ad-hoc system construction that is accessible to many devices and can accommodate their functions.

Katsumi Tanaka

Papers

Navigation-Dependent Web-Views: Defining and Controlling Semantic Unit of Web Pages

Mining Alternative Actions from Community Q&A Corpus

Web Search Improvement Based on Proximity and Density of Miltiple Keywords

How to build an adaptive web site: A Framework for User Adaptation

A database-oriented wrapper for ubiquitous data acquisition/access environments