{"product_id":"machine-learning-systems-for-multimodal-affect-recognition","title":"Machine Learning Systems for Multimodal Affect Recognition","description":"Markus 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.","brand":"EMKA","offers":[{"title":"Default Title","offer_id":53391302885707,"sku":"9783658286736","price":84.21,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/emka.si\/products\/machine-learning-systems-for-multimodal-affect-recognition","provider":"EMKA","version":"1.0","type":"link"}