The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...
In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...
Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach," in Proc. IEEE International Conference on Acoustics, ...
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...
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