AI News, CMSC5707 Advanced Topics in Artificial Intelligence

Overview of Part I, CMSC5707 Advanced Topics in Artificial Intelligence KH Wong (6 weeks) Audio signal processing – Signals in time frequency domains.

frequency domains – Audio feature extraction techniques Time/Frequency domain Linear predicted coding Vector quantization Cepstral coefficients – Recognition Procedures – Music pitch estimation Face detection – Detection using a classification method :Adaboost – Face detection example using Adaboost Overview of CMSC57071 Week1 {

frequency domains – Audio feature extraction techniques Time/Frequency domain Linear predicted coding Vector quantization Cepstral coefficients – Recognition Procedures – Music pitch estimation Face detection – Detection using a classification method :Adaboost – Face detection example using Adaboost Overview of CMSC57071 Week1',

frequency domains – Audio feature extraction techniques Time/Frequency domain Linear predicted coding Vector quantization Cepstral coefficients – Recognition Procedures – Music pitch estimation Face detection – Detection using a classification method :Adaboost – Face detection example using Adaboost Overview of CMSC57071 Week1',

techniques in this course Features from sound Vector quantization – Can be used in many different applications Dynamic program – Can be used for speech recognition and many applications Pitch extraction for music signal analysis – Can be used for building music recommendation system, music data base analysis Face detection – AdaBoost– a classification technique, can be used in many A.I.

'description': 'techniques in this course Features from sound Vector quantization – Can be used in many different applications Dynamic program – Can be used for speech recognition and many applications Pitch extraction for music signal analysis – Can be used for building music recommendation system, music data base analysis Face detection – AdaBoost– a classification technique, can be used in many A.I.

Course List

This course will introduce query processing methods that are designed to solve important data management problems in various domains, including spatial databases, uncertain databases, stream databases, and so on.

This course will cover selected topics from: advanced pattern recognition, neural networks, expert systems and fuzzy systems, evolutionary computing, learning theory, constraint processing, logic programming, probabilistic reasoning, computer vision, speech processing, and natural language processing.

Topics are covered in three major areas: (1) Framework Area: distributed system architectural models, service-oriented platforms, Web services, communications principles, client-server and multicast communications, emerging standards and programming models;

(2) Technology Area: naming, trading, and event services, physical and logical clocks, concurrency control, distributed transactions, security, reliability and fault tolerance issues;

This first part of the course includes fundamental topics in image processing, e.g., image enhancement techniques, color image processing, image segmentation, and image compression.

Topics include the identification of elements and processes of project management, processes involved in project integration management, project scope management, various tools and techniques used to develop project schedules and resource planning, processes of project quality management, project communications management, risk management, human resources management, and project procurement management.

The second-half course will focus on the Web-based VR interfaces which build up the fundamental basis for testing new ideas and alternative solution for the latest VR research, including VR scene modeling, dynamic objects, interactive navigation and sensors, real-time rendering, and diversifed web-based VR applications.

Topics include risk and return, modern portfolio theory, calculating the efficient frontier, multiple factor models, various models for portfolio optimization, utility functions and evaluation of portfolio performance.

The seminar is a series of 12 sessions with speakers invited from academia or industry to present a range of current topics in computer science to widen the students’

This course focuses on the programming issues in computer gaming software production, discusses the process in developing a game application and analyzes various considerations in technologies used.

Topics include utility theory, decision under risk, decisions under uncertainty, social choices, strategic games and Nash equilibrium, extensive games and subgame perfect equilibrium, repeated games and folk theorems, and applications in computer science.

The key topics include entrepreneur characteristics, identifying market opportunity, IT product/service management, business planning, formation of a new IT venture, financing, market segmentation, positioning, pricing, promotion, distribution and channel management.

This course introduces recent developments in the emerging field of social computing, which investigates the information processing of social signals that arise from the interactions among entities through social media technologies such as social networking sites, blogs, SMS, mails, virtual communities, multimedia sharing sites, mobile devices, etc.

This course introduces network science as an emerging discipline that studies the networks for revelation of organised knowledge in them, so that network behaviour and various phenomena can be predicted.

Topics include: development and deployment process for mobile applications, graphical user interface design, mobile file systems, networking and energy saving consideration.

Topics include software requirement definition and analysis, feasibility study, software design and development on update computing platforms, and software testing and debugging.

The course topics include, but are not limited to: recommender systems, community question answering systems, crowd sourcing systems, human/social computation systems, etc.

The course mainly covers the system issues of collective intelligence systems, such as system design, implementations, evaluation, applications, demonstrations as well as case studies.

Topics include tf-idf scoring, page rank, inverted index, trie, suffix tree, string B-tree, q-gram, error-tolerant keyword search, deep web, and so on.

Topics will include two main areas, Basic Corporate Skills and IT Trends Basic Corporate Skills will cover topics such as communication skills, business fundamentals (marketing, sales, and finance), and management skills (organizational behaviour).