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. Onsite live Pattern Recognition trainings in Sharjah can be carried out locally on customer premises or in NobleProg corporate training centers.
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Sharjah Expo Centre
Al Taawun Street, Al Khan, United Arab Emirates, P.O.Box 3222
Located in the United Arab Emirates (UAE), Expo Centre Sharjah naturally commands a strategic position at the heart of the re...
Located in the United Arab Emirates (UAE), Expo Centre Sharjah naturally commands a strategic position at the heart of the region’s business and commercial hub. As a stable and dynamic country, the UAE is an established gateway to the Middle East and beyond into the CIS region, North Africa and the Indian Subcontinent.
This is one of the newest Expo centres in the UAE. Adjacent to the Corniche with convenient connections to the E11, the UAE’s longest road, it’s a strategic location with excellent links to Dubai and the airport. This centre's location is ideal for companies with international clients, and for those that value convenience, accessibility and practicality. Within walking distance, there is an abundance of restaurants and cafes to explore and enjoy outside of work. Close by, you can also find Sharjah Aquarium
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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