Search Results - "Vidyaratne, L."

Survey on Deep Neural Networks in Speech and Vision Systems by Alam, M., Samad, M.D., Vidyaratne, L., Glandon, A., Iftekharuddin, K.M.

“…This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in speech and vision applications. Recent advances…”
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3D far-field Lidar sensing and computational modeling for human identification by Glandon, A, Vidyaratne, L, Dhar, N K, Familoni, B O, Sadeghzadehyazdi, N, Acton, S T, Iftekharuddin, K M

“…3D sensors offer depth sensing that may be used for task-specific data processing and computational modeling. Many existing methods for human identification…”
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Novel deep generative simultaneous recurrent model for efficient representation learning by Alam, M., Vidyaratne, L., Iftekharuddin, K.M.

“…Representation learning plays an important role for building effective deep neural network models. Deep generative probabilistic models have shown to be…”
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Deep SRN for robust object recognition: A case study with NAO humanoid robot by Alam, M., Vidyaratne, L., Wash, T., Iftekharuddin, K. M.

“…In recent years, deep neural networks have shown excellent performance for solving complex object recognition tasks. The increase in performance is achieved by…”
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Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals by Rahman, Md Monibor, Vidyaratne, L., Carpenter, A., Tennant, C., Iftekharuddin, K.

“…The superconducting radio-frequency cavities are a crucial component of the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. When a…”
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3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video by Glandon, A., Vidyaratne, L., Sadeghzadehyazdi, N., Dhar, Nibir K., Familoni, Jide O., Acton, Scott T., Iftekharuddin, K. M.

“…This work proposes a novel computational modeling to estimate 3D dense skeleton and corresponding joint locations from Lidar (light detection and ranging) full…”
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Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection by Alam, M., Vidyaratne, L., Iftekharuddin, K. M.

“…Large scale feed forward neural networks have seen intense application in many computer vision problems. However, these networks can get hefty and…”
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Deep recurrent neural network for seizure detection by Vidyaratne, L., Glandon, A., Alam, M., Iftekharuddin, K. M.

“…EEG is one the most effective tools used in the diagnosis of epilepsy. However, proper diagnosis of epilepsy requires the detection and analysis of epileptic…”
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Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network by Alam, M., Vidyaratne, L., Iftekharuddin, K. M.

“…Efficient learning of data distribution is necessary for many different applications such as classification, recognition, decision making and segmentation…”
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Efficient feature extraction with simultaneous recurrent network for metric learning by Alam, M., Vidyaratne, L., Iftekharuddin, K. M.

“…Metric learning has been successful in distance based classification tasks. However, metric learning tends to become increasingly complex with the increase of…”
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Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks by Glandon, A., Ullah, S., Vidyaratne, L., Alam, M., Xin, C., Iftekharuddin, K. M.

“…In cognitive radio networks, it is desirable to determine radio spectrum usage in frequency, time, and spatial domains. Spectrum data improves cognitive radio…”
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Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot by Bussey, D., Glandon, A., Vidyaratne, L., Alam, M., Iftekharuddin, K. M.

“…Applications of transfer learning for convolutional neural networks (CNNs) have shown to be an efficient alternative for solving recognition tasks rather than…”
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Constrained versus unconstrained learning in generalized recurrent network for image processing by Vidyaratne, L., Alam, M., Anderson, J. K., Iftekharuddin, K. M.

“…Many practical applications such as large scale image processing requires cost function optimization that is rather complex in nature. This renders the generic…”
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Improved training of cellular SRN using Unscented Kalman Filtering for ADP by Vidyaratne, L., Alam, M., Anderson, J. K., Iftekharuddin, K. M.

“…Cellular Simultaneous Recurrent Network (CSRN) is a unique type of recurrent networks that is designed to solve complex optimization problems. This network has…”
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