{ "item_title" : "Design and Analysis of Statistical Methods on Face Recognition", "item_author" : [" T. Syed Akheel "], "item_description" : "Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Dimensionality reduction has been a key problem in Face Recognition. Independent Component Analysis (ICA) is a recent approach for dimensionality reduction. Locality Preserving Projections (LPP) and linear collaborative discriminant regression methods are also a recently proposed new methods in pattern recognition for feature extraction and dimension reduction.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/801/114/6208011140_b.jpg", "price_data" : { "retail_price" : "94.00", "online_price" : "94.00", "our_price" : "94.00", "club_price" : "94.00", "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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