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?

When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical ...

Finite State Automata (FSA): A computational model used for recognising patterns through states and transitions, often applied in the design of efficient matching algorithms.

Take advantage of pattern matching improvements in C# 8.0 to write code that is more readable, maintainable, and efficient ...

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 ...

We describe a new algorithm for matching star lists, given by their two-dimensional coordinates. Such matching should be unaffected by translation, rotation, rescaling, random perturbations, and some ...

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