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

Broadcasting and Databases

This paper specifically addresses the effectiveness of our theoretically-based two dimensional retrieval model for searching semantically synchronized media streams. Conventional IR systems, which support partial retrieval of synchronized media streams, retrieve ''atomic units'', for example slides, pages and shots of underlying media streams such as presentations, electronic books, and lecture videos respectively. In contrast, our model is based upon the concept of an extended retrieval unit and thus retrieves dynamically integrated media streams comprising several atomic units both along and across media streams. In this paper, in addition to reviewing our model, we describe its system implementation that we developed for conducting experiments on several real-world datasets built from scratch. We then present extensive empirical results which demonstrate that our system outperforms (a) conventional systems based on atomic retrieval units, (b) single dimensional retrieval systems, which extend retrieval units over several atomic units of the same media and (c) cross-media retrieval systems, which extend atomic retrieval units across several media stream units. The results thus verify our claims regarding the effectiveness of our two dimensional retrieval model for retrieving meaningful units of synchronized media streams.

Extending information unit across media streams for improving retrieval effectiveness

The Joint WICOW/AIRWeb Workshop on Web Quality (WebQuality 2011) was held in conjunction with the 20th International World Wide Web Conference in Hyderabad, India on the 28th March 2011. Seven full-papers presentations and a keynote talk were delivered in three sessions. This report briefly summarizes the workshop.

Report on the joint WICOW/AIRWeb workshop on web quality (WebQuality 2011)

COMP2011 Aleksandar Ignjatovic 2005 c 2 Figure 1: A medieval copy of arguably the most influential textbook ever written, Eu-clid's Elements (Στoι χε´ια), from about 300 BC. It contains the oldest known algorithm recorded, Euclid's algorithm for computing the Greatest Common Divisor (GCD) of two natural numbers. Figure 2: First data structures: a Mesopotamian cuneiform tablet from about 3000 BC with an inventory list. Preface This booklet is not meant to be a textbook, but only a companion to the textbook that we use in this course, Cormen, Leiserson, Rivest and Stein's Introduction to Algorithms, the second edition. Its purpose is to help you read the appropriate sections of the textbook, and integrate it better with the rest of the course. It also adds a number of exercises not present in the textbook. Please read the textbook and do not rely on this supplement only.

Tree-Structured Data Organization with Consecutive Retrieval Property.

Information Organization and Databases: Foundations of Data Organization is a resource for database practitioners, database researchers, designers and administrators of multimedia information systems, and graduate-level students in the area of information retrieval and/or databases wishing to keep abreast of advances in the information organization technologies.

Katsumi Tanaka

Papers

Broadcasting and Databases

Extending information unit across media streams for improving retrieval effectiveness

Report on the joint WICOW/AIRWeb workshop on web quality (WebQuality 2011)

Tree-Structured Data Organization with Consecutive Retrieval Property.

Information Organization and Databases: Foundations of Data Organization