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Dilated Recurrent Neural Networks
Learning with recurrent neural networks (RNNs) on long sequences is a no...
10/05/2017 ∙ by Shiyu Chang, et al. ∙
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An influence-based fast preceding questionnaire model for elderly assessments
To improve the efficiency of elderly assessments, an influence-based fas...
11/22/2017 ∙ by Tong Mo, et al. ∙
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CuLDA_CGS: Solving Large-scale LDA Problems on GPUs
Latent Dirichlet Allocation(LDA) is a popular topic model. Given the fac...
03/13/2018 ∙ by Xiaolong Xie, et al. ∙
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Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
Matrix factorization (MF) discovers latent features from observations, w...
08/11/2018 ∙ by Wei Tan, et al. ∙
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Tablet-based Information System for Commercial Air-craft: Onboard Context-Sensitive Information System (OCSIS)
Pilots currently use paper-based documentation and electronic systems to...
11/21/2018 ∙ by Guy Andre Boy, et al. ∙
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Deep Vocoder: Low Bit Rate Speech Compression of Speech with Deep Autoencoder
Inspired by the success of deep neural networks (DNNs) in speech process...
05/12/2019 ∙ by Gang Min, et al. ∙
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Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder
Inspired by the success of deep neural networks (DNNs) in speech process...
05/12/2019 ∙ by Gang Min, et al. ∙
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