Online or onsite, instructor-led live Pattern Recognition training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Pattern Recognition.
Pattern Recognition training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Adelaide onsite live Pattern Recognition trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Adelaide City Central
Level 5, City Central, Tower 2, Adelaide, Australia, 5000
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium offic...
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium office building with outstanding green credentials, the centre is in one of the most technologically advanced buildings in Australia. Tenants in the building include several blue chip companies while the surrounding area is a hub for law firms, banks and insurance companies. Other important businesses in Adelaide include electronics, media, oil and defence. The building which has floor to ceiling windows has the latest technology in place to save substantially on energy, water and air conditioning. As well as offices, the building has a retail area, landscaped plazas and restaurants. The centre is within walking distance of many of Adelaide's attractions including the River Torrens, Adelaide Central Markets and Adelaide Oval.
This instructor-led, live course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired.
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.
Format of the Course
This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
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