Theju Isabelle Jacob

Works (2)

Updated: July 5th, 2023 15:45

2015 article

Learning rule for associative memory in recurrent neural networks

Jacob, T., & Snyder, W. (2015, July 1).

By: T. Jacob n & W. Snyder n

topics (OpenAlex): Neural Networks and Applications; Neural dynamics and brain function; Cognitive Science and Education Research
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 article

Variable Length Compression of Codeword Indices for Lossy Compression

Baron, D., & Jacob, T. (2012, October 9). IEEE Signal Processing Letters, Vol. 19, pp. 849–852.

By: D. Baron*  & T. Jacob*

author keywords: Entropy coding; lossy compression; rate distortion; variable length coding
topics (OpenAlex): Wireless Communication Security Techniques; Algorithms and Data Compression; Cellular Automata and Applications
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

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.