Theju Isabelle Jacob

Works (2)

Updated: July 5th, 2023 15:45

2015 conference paper

Learning rule for associative memory in recurrent neural networks

2015 international joint conference on neural networks (ijcnn).

By: T. Jacob n & W. Snyder n

TL;DR: A new learning rule for intralayer connections in neural networks is presented, based on Hebbian learning principles and derived from information theoretic considerations, which is shown to have associative memory like properties. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Variable Length Compression of Codeword Indices for Lossy Compression

IEEE SIGNAL PROCESSING LETTERS, 19(12), 849–852.

By: D. Baron*  & T. Jacob*

author keywords: Entropy coding; lossy compression; rate distortion; variable length coding
TL;DR: It is illustrated that variable length coding yields a reduction in the rate over fixed length coding, and allows to reach a requisite rate distortion performance level using a smaller codebook. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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