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Results for "supervisors_tesim:"Ardakani, Masoud (ECE)""
We study the large-scale video recommendation problem based on user viewing logs instead of explicit ratings. As viewing records are implicitly positive samples, existing matrix factorization methods fail to generate discriminative recommendations based on such one-class data. We propose a...
Improving the Update Complexity of Locally Repairable Linear Block Codes in Distributed Storage SystemsDownload
Distributed and cloud storage systems are used to reliably store large-scale data. Erasure codes have been recently proposed and used in real-world distributed and cloud storage systems such as Google File System, Microsoft Azure Storage, and Facebook HDFS-RAID, for reliable data storage....
Relay selection strategies help to improve spectral and energy efficiencies, to enhance transmission robustness, or to reduce latency in multi-relay cooperative wireless networks. Two novel relay selection strategies are proposed and analysed here for 1. Multiple-input multiple-output (MIMO) 2....