{"product_id":"9780128028070","title":"Advances in Independent Component Analysis and Learning Machines","description":"\u003cp\u003eIn honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. \u003c\/p\u003e \u003cp\u003eExamples of topics which have developed from the advances of ICA, which are covered in the book are: \u003c\/p\u003e \u003cul\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eA unifying probabilistic model for PCA and ICA \u003c\/li\u003e\n\u003cli\u003eOptimization methods for matrix decompositions \u003c\/li\u003e\n\u003cli\u003eInsights into the FastICA algorithm\u003c\/li\u003e\n\u003cli\u003eUnsupervised deep learning \u003c\/li\u003e\n\u003cli\u003eMachine vision and image retrieval \u003c\/li\u003e\n\u003c\/ul\u003e\u003cul\u003e\n\u003cli\u003eA review of developments in the theory and applications of independent component analysis, and its influence in important areas such as statistical signal processing, pattern recognition and deep learning.\u003c\/li\u003e\n\u003cli\u003eA diverse set of application fields, ranging from machine vision to science policy data.\u003c\/li\u003e\n\u003cli\u003eContributions from leading researchers in the field.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":47106433843440,"sku":"9780128028070","price":150.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9780128028070_p0.jpg?v=1763639505","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9780128028070","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}