Pattern recognition and machine learning /
Contributor(s): Buscema, Massimo [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![](/opac-tmpl/bootstrap/images/filefind.png)
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ATU Sligo Yeats Library Main Lending Collection | 006.4 BUS (Browse shelf(Opens below)) | Available | 0082419 |
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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.