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Deep Autoencoders for Cross-Modal Retrieval
(2019-05-01)
Increased accuracy and affordability of depth sensors such as Kinect has created a great depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in the field of computer vision and ...
Training general dynamic neural networks
(2002-08)
Study of Smart Integrated Renewable Energy Systems (SIRES)
(2017-09)
Energy availability is a severe problem in majority of the remote rural areas of the world. Development of energy-resources-poor rural areas has been discussed by many in the past. Rural electrification was the first major ...
Measurement and analysis of natural video masked dynamic discrete cosine transform noise detectability
(2015-05)
Lossy video compression lowers fidelity and can leave visual artifacts. Current video compression algorithms are guided by quality assessment tools designed around subjective data based on aggressive video compression. ...
Automatic design of deep neural network architectures with evolutionary computation
(2020-05)
Deep Neural Networks (DNNs) are algorithms with widespread use in the extraction of knowledge from raw data. DNNs are used to solve problems in the fields of computer vision, natural language understanding, signal processing, ...