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Pattern Recognition
Pattern recognition is an umbrella term for algorithms that detect, extract and classify patterns, where the term is used broadly . Applications include handwriting and speech recognition, medical diagnosis, fingerprint verification and face recognition.
The concept of pattern originated from sensorial perception. Images of random pixels would not be considered "patterns" while simple structures such as lines and characters would. Pattern recognition algorithms have been most prominent and successful in the automated recognition of zip codes on postal envelopes as well as in speech recognition software.

We can provide guidance, algorithms and full solutions to common pattern recognition problems such as face recognition, automated handwritten digit reading and general biometric analysis.

Pattern RecognitionAnomaly and Impending Nonlinear ProcessingData Mining Noise Sustained Patterns
Network Dynamics Remaining Lifetime More PublicationsStatistical Learning Multivariate Modeling