{ "item_title" : "Advances in Independent Component Analysis and Learning Machines", "item_author" : [" Ella Bingham", "Samuel Kaski", "Jorma Laaksonen "], "item_description" : "In 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.Examples of topics which have developed from the advances of ICA, which are covered in the book are:A unifying probabilistic model for PCA and ICAOptimization methods for matrix decompositionsInsights into the FastICA algorithm Unsupervised deep learningMachine vision and image retrieval ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/802/806/0128028068_b.jpg", "price_data" : { "retail_price" : "165.00", "online_price" : "165.00", "our_price" : "165.00", "club_price" : "165.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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