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Outputs (8)

Understanding unconventional preprocessors in deep convolutional neural networks for face identification (2019)
Journal Article

Deep convolutional neural networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architecture such as: depth of the convolutional layers, ac... Read More about Understanding unconventional preprocessors in deep convolutional neural networks for face identification.

Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition (2017)
Journal Article

Feature extraction task are primarily about making sense of the discriminative features/patterns of facial information and extracting them. However, most real world face images are almost always intertwined with imaging modality problems of which... Read More about Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition.

On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces (2016)
Journal Article

Objectives: To analyze the influence of the sparseness distribution characteristics of gradient-based descriptor data on reduction of high-dimensional data, this paper presents experimental analysis on learned samples of gradient descriptor data. Met... Read More about On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces.

Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters (2015)
Journal Article

The characterization and parameterization of processes that arise in many fields of science and technology are very crucial. Of particular importance are dynamic processes whose statistics are time-varying and are often modeled as stochastic processe... Read More about Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters.