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Deep neural networks have shown incredible performance for inference tasks in a variety of domains. Unfortunately, most current deep networks are enormous cloud-based structures that require significant storage space, which limits scaling of deep learning as a service (DLaaS). This paper is concerned with finding universal lossless compressed representations of deep feedforward networkswith synaptic...
Text messages are generally encoded by performing table look-up on fixed length code tables. In this paper, a lossless text compression algorithm which works on the principle of entropy reduction is proposed. Characters in a text message in any language are generally encoded using a binary string with a Unique Lexicographical Rank (ULR). A corresponding Maximum Rank(MR) for any binary string can be...
Short Message Service (SMS) via cell phones is a widely used mode of data communication. Currently employed encoding schemes allow the transmission of 160 characters per SMS in English. This drops to 70 characters per SMS if any Indian language including Hindi is used, due to the UNICODE format used therein. Schemes proposed to improve the encoding efficiency of short text messaging generally encode...
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