Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data. Traditional pattern recognition applications range from automatic speech recognition, classification of text into several categories (e.g., spam/non-spam email messages), the automatic recognition of handwritten postal codes on postal envelopes, to sophisticated Deep Learning based systems for person identification / authentication and license plate recognition. In recent years, Pattern Recognition applications have emerged across various disciplines including Medicine, Agriculture, and Trade Management. This workshop will bring together experts from various application domains to highlight recent research in this fascinating area and discuss possible future directions and collaborations.

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