Developers of machine-vision systems face a significant challenge: Their systems must accurately locate reference patterns that may appear different from one product to the next. For many years, ...

That is the ability machine learning algorithms provide us with i.e. pattern matching. But what’s next? How is a system going to decide after a successful match?

Pattern matching isn't necessarily bad, but it isn't adaptable to ever-changing threats. This technique constantly requires vendor updates to stay alongside threats while never getting ahead of them.

An algorithm, which determines the range of a preceding vehicle by a single image, had been proposed. It uses a "Range-Window Algorithm". Here in order to realize higher robustness and stability, the ...

Why AI must move beyond pattern-matching Artificial intelligence and deep learning have revolutionised applications such as computer vision, but more complex problems require a different approach ...

Even when all five fluorescent probes were used simultaneously, the pattern-matching algorithm unequivocally identified the contribution of each fluorophore per pixel.

Aristide Mingozzi, Roberto Roberti, An Exact Algorithm for the Fixed Charge Transportation Problem Based on Matching Source and Sink Patterns, Transportation Science, Vol. 52, No. 2 (March–April 2018) ...