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

A method is described for extracting semantic relationships between terms appearing in documents stored on a personal computer; these relationships can be used to personalize Web search. It is based on the assumption that the information a person stores on a personal computer and the directory structure in the PC reflect, to some extent, the person’s knowledge, ideology, and concept classification. It works by identifying semantic relationships between the terms in documents on the PC; these relationships reflect the person’s relative valuation of each term in a pair. The directory structure is examined to identify the deviations in the appearance of the terms within each directory. These deviations are then used to identify the relationships between the terms. Four relationships are defined: broad, narrow, co-occurrent, and exclusive. They can be used to personalize Web search through, for example, expansion of queries and re-ranking of search results.

Extracting semantic relationships between terms from PC documents and its applications to web search personalization

Video data consists of a sequence of shots. Over the past several years, substantial progress has been made in automatically detecting shot boundaries based on changes of visual and/or audio characteristics. There has also been considerable progress in indexing such video shots by automatically extracting keywords using techniques such as speech and text recognition. Shots detected by those techniques, however, are very fragmental. A single shot itself is rarely self-contained and therefore may not carry enough information to be a meaningful unit. A meaningful interval that interests common users generally spans several consecutive shots. There hardly exists any reliable technique for identifying all such meaningful intervals in advance so that any possible query can be answered.

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A New Algebraic Approach to Retrieve Meaningful Video Intervals from Fragmentarily Indexed Video Shots

From the Publisher:
This volume is a progress report on the project Research and Development of Advanced Database Systems for Integration of Media and User Environments, supported by the Ministry of Education, Science, Sports and Culture of Japan. It investigates research on new database systems due to the recent development of network technology; a clearer picture of integration by database technology is drawn as a result.

Advanced Database Systems for Integration of Media and User Environments '98

This paper discusses the dynamic presentation of heterogeneous spatio-temporal content along a trajectory. Applications based on this scheme provide users with the ability to view target information and its surrounding context together in an opportunistic manner. We discuss various types of triggers contained in a trajectory that induce dynamic changes in content. We describe different implementations based on this scheme.

Trajectory-Based presentation of heterogeneous spatio-temporal content

We investigate how explicit search roles assigned to group members affect their search performance and behavior in collaborative information seeking (CIS). Although several roles have been proposed in CIS, how these roles affect the search performances and behaviors of the members has not yet been explored. We focus on the existing Gatherer and Surveyor roles and analyze their effects on search performances and query formulation behaviors. The goal of our study is to understand the relationships between the roles and search behaviors and get insights into developing algorithms such as query suggestions or document rankings adaptive to the roles and behaviors. We conducted a user study with 20 participants in 10 pairs, where each pair of Gatherer and Surveyor were asked to perform a recall-oriented collaborative search task. We first analyzed the search performance of the two roles in terms of recall and diversity. We also analyzed how their queries were affected by their preceding queries or webpages that were visited through a questionnaire and log analysis. Finally, we discussed what algorithms would be required to support role-based CIS.

Katsumi Tanaka

Papers

Extracting semantic relationships between terms from PC documents and its applications to web search personalization

A New Algebraic Approach to Retrieve Meaningful Video Intervals from Fragmentarily Indexed Video Shots

Advanced Database Systems for Integration of Media and User Environments '98

Trajectory-Based presentation of heterogeneous spatio-temporal content

Analyzing Effect of Roles on Search Performance and Query Formulation in Collaborative Search