The Pattern Analysis and Machine Intelligent (PAMI) research area involves theory, methods, operations and systems design that concern the perception, recognition and analysis of patterns of objects (visual, textual, numeric or multimedia) and building systems, machines and programs that exhibit adaptable and intelligent behaviour. There are several sub-areas in Pattern recognition and Machine Intelligence such as sensors management and perception, affective computing, activity recognition, data mining and knowledge discovery, cognitive robotics, cooperative intelligent systems, biometrics, video and image analysis, natural speech recognition, human-machine interaction and applications. These areas and sub-areas are the cornerstone of many applications ranging from intelligent transportation systems to service robotics, from speech transcription to document classification and clustering, from computer vision to emotion recognition, and from prediction of commodities to intelligent power engineering.

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Doctor of Philosophy in Electrical and Computer Engineering - Pattern Analysis and Machine Intelligence

At University of Waterloo

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