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Pattern recognition and machine learning /

Contributor(s): Buscema, Massimo, 1955- [contributor.] | Czarnecki, Wojciech Marian [contributor.].
Publisher: Lewews, Delaware : Excelic Press LLC, 2019Description: ix, 361 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781642241525.Subject(s): Pattern recognition systems | Machine learningDDC classification: 006.4
Contents:
Preface -- Training with input selection and testing (TWIST) algorithm -- Extreme entrophy machines -- Compound hidden Markov model for activity labeling -- Local binary patterns and its variants for finger knuckle print recognition in multi-resolution domain -- A new validity index for crisp clusters -- Method of synthesized phase objects in the optical pattern recognition problem -- Machine-learned pattern identification in olfactory subtest results -- A learning-based colour image segmentation with extended and compact structural tensor feature representation -- Gaze stability for liveness dectection -- Data-driven methodolgies for structural damage detection based on Machine Learning applications -- Task sensitivity in EEG biometric recognition -- Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity -- RRAM-based parallel computing architecture using K-Nearest neighbourhood classification for pattern recognition -- TERAPA : a novel in Silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records -- Identification of patterns of consumption through daily mean outdoor temperature.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 006.4 BUS (Browse shelf(Opens below)) Available 0082419
Total holds: 0

Includes bibliographic references and index.

Preface -- Training with input selection and testing (TWIST) algorithm -- Extreme entrophy machines -- Compound hidden Markov model for activity labeling -- Local binary patterns and its variants for finger knuckle print recognition in multi-resolution domain -- A new validity index for crisp clusters -- Method of synthesized phase objects in the optical pattern recognition problem -- Machine-learned pattern identification in olfactory subtest results -- A learning-based colour image segmentation with extended and compact structural tensor feature representation -- Gaze stability for liveness dectection -- Data-driven methodolgies for structural damage detection based on Machine Learning applications -- Task sensitivity in EEG biometric recognition -- Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity -- RRAM-based parallel computing architecture using K-Nearest neighbourhood classification for pattern recognition -- TERAPA : a novel in Silico feature learning pipeline for mining prognostic and associative factors from text-based electronic medical records -- Identification of patterns of consumption through daily mean outdoor temperature.

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