{"product_id":"machine-learning-systems-for-multimodal-affect-recognition-9783658286736","title":"Machine Learning Systems for Multimodal Affect Recognition","description":"\u003cp\u003e • Author(s): Markus Kächele\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer Vieweg\u003cbr\u003e • BISAC: User Interfaces\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eMarkus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers. He focuses on multimodal recognition of discrete and continuous emotional and medical states. As such, specifically the peculiarities that arise during annotation and processing of continuous signals are highlighted. Furthermore, methods are presented that allow personalization of datasets and adaptation of classifiers to new situations and persons. \u003cbr\u003e\u003cb\u003eContents\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eClassification and Regression Approaches\u003c\/li\u003e\n\u003cli\u003eApplications and Affective Corpora\u003c\/li\u003e\n\u003cli\u003eModalities and Feature Extraction\u003c\/li\u003e\n\u003cli\u003eMachine Learning for the Estimation of Affective Dimensions\u003c\/li\u003e\n\u003cli\u003eAdaptation and Personalization of Classifiers\u003c\/li\u003e\n\u003cli\u003eExperimental Validation\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eTarget Groups\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eLecturers and students of neuroinformatics, artificial intelligence, machine learning, human-machine interaction\/affective computing\u003c\/li\u003e\n\u003cli\u003ePractitioners in the field of artificial intelligence and human-machine interaction\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eThe Author\u003c\/b\u003e\u003cb\u003eDr. Markus Kächele\u003c\/b\u003e is managing partner of Ikara Vision Systems, a spin-off of the German Research Center for Artificial Intelligence (DFKI). He focuses on bridging the gap between research and industrial applications in the fields of deep learning and computer vision.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277805019287,"sku":"9783658286736","price":4730.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783658286736.webp?v=1769289236","url":"https:\/\/atlanticbooks.com\/products\/machine-learning-systems-for-multimodal-affect-recognition-9783658286736","provider":"Atlantic Books","version":"1.0","type":"link"}