Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Neural Networks"
Now showing items 1-8 of 8
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Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms
Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ... -
Algorithm And Architecture Design for Real-time Face Recognition
(2017-10-31)Face recognition is a field of biometrics that deals with identification of subjects based on features present in the images of their faces. The factors that make face recognition popular and favorite as compared to other ... -
Conformal Thermal Models for Optimal Loading and Elapsed Life Estimation of Power Transformers
(Indian Institute of Science, 2005-04-18)Power and Generator Transformers are important and expensive elements of a power system. Inadvertent failure of Power Transformers would cause long interruption in power supply with consequent loss of reliability and revenue ... -
First-Spike-Latency Codes : Significance, Relation to Neuronal Network Structure and Application to Physiological Recordings
(2018-04-12)Over the last decade advances in multineuron simultaneous recording techniques have produced huge amounts of data. This has led to the investigation of probable temporal relationships between spike times of neurons as ... -
Multimodal Deep Learning for Multi-Label Classification and Ranking Problems
(2018-06-11)In recent years, deep neural network models have shown to outperform many state of the art algorithms. The reason for this is, unsupervised pretraining with multi-layered deep neural networks have shown to learn better ... -
Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations
(2013-07-03)Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations in these result in a large spread in leakage ...