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 will propose a way of visualizing attribute information for spatial objects in the three-dimensional space and a calculation method for extracting a representative object from objects in a given region. In conventional three-dimensional visualizations such as architectural simulations, most of the attention has been paid to image data such as colors, shapes, and textures of spatial objects. In this research, we will focus on the attribute information of spatial objects including image data. We propose InfoLOD concept which introduces the notion of level of detail(LOD) to attribute information as well as image data such as photographs and computer graphics for controlling the visualization of attribute information in a three-dimensional space. The visualization is controlled based on distance and orientation, and we will also discuss the differentiation factor which visualizes the differences among the objects. In addition to visualization control, we will propose the LandMark algorithm for extracting a representative object from the objects in a given region based on their spatial occupancy ratio and the uniqueness of the attribute data. The region for browsing may be specified manually by the user or may be automatically specified by some algorithm. Here, we discuss the spatial glue operation which dynamically retrieves regions containing objects with user-specified attribute information unlike conventional method based on static mesh which are often used in GIS(Geographic Information System). We will also introduce some of our implementations in order to illustrate our ideas.

Infolod and landmark: spatial presentation of attribute information and computing representative objects for spatial data

Schema design, views and incomplete information in object-oriented databases

This study investigates recall and recognition in a news refinding task where participants were asked to read news articles and then to search for the same articles a fortnight later. Recall, which is a task to express what a person remembers, corresponds to query formulations, while recognition, which is a task to judge whether a presented item has been shown before, corresponds to a user's relevance judgment on search results in a refinding task. Our four main contributions can be summarized as follows: (i) we developed a method to investigate the effects of memory loss on episode refinding tasks on a large scale; (ii) our user study revealed a big drop on search performances in the refinding task after a fortnight and several differences between search queries input immediately after news browsing and ones at a later time; (iii) we found that asking questions and expanding input queries on the basis of the answers significantly improved the search performance in the news refinding task; and (iv) the users' recognition abilities were different than their recall abilities, e.g. object names in a news story could be correctly recognized even though they were rarely recalled. Our findings support several findings in cognitive psychology from the viewpoint of information refinding and also have several implications for search algorithms for assisting user refinding.

Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later

A method is described for discovering coordinate terms, such as "Honda'' and "Nissan,'' for a given term, such as "Toyota,'' as well as their common topic terms, from the query logs of a Web search engine. Coordinate terms are good candidates for use in making comparisons. A HITS-based algorithm is applied to a bipartite graph between coordinate term candidates and co-occurrence patterns to identify coordinate and topic terms. Spectral analysis is used to distinguish coordinate terms corresponding to different aspects of the search term. As a result, we can discover terms related to the terms in a search engine query that reflect the needs and interests of the user.

Unsupervised Discovery of Coordinate Terms for Multiple Aspects from Search Engine Query Logs

Databases for Advanced Applications.- Statistics Metadata: Linear Regression Analysis.- Dynamic PATRICIA.- Design of an Integrated DBMS to Support Advanced Applications.- Use of the Relational Model for Data Representation in a Deductively Augmented Database Management System.- Hashing.- Hash-Based File Organization Utilizing Large Capacity Main Memory.- Trie Hashing: Further Properties and Performance.- The Study of A Letter Oriented Minimal Perfect Hashing Scheme.- Consecutive Retrieval Property.- On the Relaxed Consecutive Retrieval Property in File Organization.- Consecutive Retrieval Organization as a File Allocation Scheme on Multiple Disk Systems.- TRACER: Transposed File Organization Scheme with Consecutive Retrieval Property and Its Application to Statistical Database System.- Multiple Query Processing in Local Area Database System.- File Allocation and Distributed Databases.- Management of Table Partitioning and Replication in a Distributed Relational Database System.- On Strict Optimality Property of Allocating Binary Cartesian Product Files on Multiple Disk Systems.- On the Complexity of File Allocation Problem.- A Quantitative Evaluation of Scheduling Systems for the Physical Locking Scheme in a Database System.- Allocation of Documents in Two Level Memory for Information Retrieval Systems.- Mathematical File Organization and Computational Geometry.- Further Results on Hyperclaw Decomposition and Balanced Filing Schemes.- Placing Tiles in the Plane.- Mixed-Type Multiple-Valued Filing Scheme of Order One and Two.- Space Partitioning and Its Application to Generalized Retrieval Problems.- On Computing and Updating Triangulations.- Database Machines.- VLSI Trees for File Organization.- The Inverted File Tree Machine: Efficient Multi-Key Retrieval for VLSI.- Multidimensional Clustering Techniques for Large Relational Database Machines.- A Method for Realistic Comparisons of Sorting Algorithms for VLSI.- Database Models.- Update Propagation in the IFO Database Model.- Computation-tuple Sequences and Object Histories: Extended Abstract.- Projection of Object Histories.- Functional Entity Relationship Model and Update Operations (Extended Abstract).- An Algebra for an Entity-Relationship Model and Its Application to Graphical Query Processing.- Structures and Performance of Physical Database Models.- Record-to-Area Mapping in the CODASYL Environment.- An Optimal Trie Construction Algorithm for Partial-Match Queries.- FOPES: File Organization Performance Estimation System.- Empirical Comparison of Associative File Structures.- Hybrid Sorting Techniques in Grid Structures.- CAD/VLSI Databases.- A Model and Storage Technique for Versions of VLSI CAD Objects.- Storage and Access Structures for Geometric Data Bases.- A Conceptual Basis for Graphics-Based Data Management (Extended Abstract).- Semantic Data Organization on a Generalized Data Management System.- Frequency Separation Analysis for Object Oriented Databases.- Query Processing and Physical Structures for Relational Databases.- Index Selection in Relational Databases.- A Physical Structure for Efficient Processing of Relational Queries.- A Hash Join Technique for Relational Database Systems.- Data Organization Method for the Parallel Execution of Relational Operations.- Implementation of Inferential Relational Database System.- Database Theory.- Towards a Basic Relational NF2 Algebra Processor.- Two Classes of Easily Tested Integrity Constraints: Complacent and FD-complacent Integrity Constraints.- Semantic Constraints of Network Model (Extended Abstract).- Join-Decomposition of MVD-Constraints Using the Characterization by "Bases" -An Introductive Study-.- Database Research and Development in the Pacific Area Countries.- Database Research and Development in Taiwan.- Database Research and Development in Korea.- Database Research and Development in Australia.- Database Research and Development in Japan: Its Past, Present and Future.- Database Research and Development in China.- Database Research and Development in Singapore.- Author index.

Katsumi Tanaka

Papers

Infolod and landmark: spatial presentation of attribute information and computing representative objects for spatial data

Schema design, views and incomplete information in object-oriented databases

Re-call and Re-cognition in Episode Re-retrieval: A User Study on News Re-finding a Fortnight Later

Unsupervised Discovery of Coordinate Terms for Multiple Aspects from Search Engine Query Logs

Foundations of Data Organization