Improving RGB-D face recognition via transfer learning from a pretrained 2D network
Abstract 2D Face recognition has been extensively studied for decades and has reached
remarkable results in recent years. However, 2D Face recognition is sensitive to variations in …
remarkable results in recent years. However, 2D Face recognition is sensitive to variations in …
An implementation of resnet on the classification of RGB-D images
T Gong, H Niu - … International Symposium, Bench 2019, Denver, CO …, 2020 - Springer
Facial recognition is to identify human faces from an image. It is becoming more and more
important these days as it can be applied in multiple industries, such as bank, airport, e …
important these days as it can be applied in multiple industries, such as bank, airport, e …
The implementation and optimization of matrix decomposition based collaborative filtering task on x86 platform
T Hao, Z Zheng - … International Symposium, Bench 2019, Denver, CO …, 2020 - Springer
With the rapid development of the information age, the recommendation system becomes
more and more significant to help people find hidden information from the big dataset in …
more and more significant to help people find hidden information from the big dataset in …
Performance analysis of cambricon mlu100
J Li, Z Jiang - … International Symposium, Bench 2019, Denver, CO …, 2020 - Springer
In recent years, domain-specific hardware has brought significant performance
improvements in deep learning (DL). Many frequently-used optimization techniques, such as …
improvements in deep learning (DL). Many frequently-used optimization techniques, such as …
XDN: towards efficient inference of residual neural networks on cambricon chips
In this paper, we present XDN, an optimization and inference engine for accelerating
residual neural networks on Cambricon chips. We leverage a channel pruning method to …
residual neural networks on Cambricon chips. We leverage a channel pruning method to …
An efficient implementation of the ALS-WR algorithm on x86 CPUs
M Chen, T Chen, Q Chen - International Symposium on Benchmarking …, 2019 - Springer
With the continuous development of computers and big data technology, more
recommendation systems are applied in the fields of online music, online movies, games …
recommendation systems are applied in the fields of online music, online movies, games …
RVTensor: a light-weight neural network inference framework based on the RISC-V architecture
P Hou, J Yu, Y Miao, Y Tai, Y Wu, C Zhao - Benchmarking, Measuring, and …, 2020 - Springer
The open-source instruction set architecture RISC-V has developed rapidly in recent years,
and its combination mode of multiple sub-instruction sets has attracted the attention of IoT …
and its combination mode of multiple sub-instruction sets has attracted the attention of IoT …
Exploring the performance bound of cambricon accelerator in end-to-end inference scenario
Deep learning algorithms have become pervasive in a broad range of industrial application
scenarios. DianNao/Cambricon family is a set of energy-efficient hardware accelerators for …
scenarios. DianNao/Cambricon family is a set of energy-efficient hardware accelerators for …
Accelerating parallel ALS for collaborative filtering on hadoop
Y Liang, S Zeng, Y Liang, K Chen - … 2019, Denver, CO, USA, November 14 …, 2020 - Springer
Collaborative Filtering (CF) is an important building block of recommendation systems.
Alternating Least Squares (ALS) is the most popular algorithm used in CF models to …
Alternating Least Squares (ALS) is the most popular algorithm used in CF models to …
Improve image classification by convolutional network on Cambricon
P He, G Chen, K Deng, P Yao, L Fu - … , Denver, CO, USA, November 14–16 …, 2020 - Springer
Cambricon provides us with a complete intelligent application system, how to use this
system for deep learning algorithms development is a challenging issue. In this paper, we …
system for deep learning algorithms development is a challenging issue. In this paper, we …