Unsupervised Binary Representation Learning with Deep Variational Networks
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01166-4
Abstract: Learning to hash is regarded as an efficient approach for image retrieval and many other big-data applications. Recently, deep learning frameworks are adopted for image hashing, suggesting an alternative way to formulate the encoding function… read more here.
Keywords: representation learning; learning deep; deep variational; unsupervised binary ... See more keywords
BR-CIM: An Efficient Binary Representation Computation-In-Memory Design
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3185135
Abstract: Deep neural network (DNN) has recently attracted tremendous attention in various fields. But the computing operation requirement and the memory bottleneck limit the energy efficiency of hardware implementations. Binary quantization is proposed to relieve the… read more here.
Keywords: memory; binary representation; representation computation; computation memory ... See more keywords
Learning All-In Collaborative Multiview Binary Representation for Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202102
Abstract: Multiview clustering via binary representation has attracted intensive attention due to its effectiveness in handling large-scale multiple view data. However, these kind of clustering approaches usually ignore a very important potential high-order correlation in discrete… read more here.
Keywords: collaborative multiview; binary representation; representation clustering; multiview binary ... See more keywords