| Year |
Title |
Author |
| 2017 |
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network |
M Turan, A Abdullah, R Jamiruddin, H Araujo |
| 2017 |
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices |
W Meng, Z Gu, M Zhang, Z Wu |
| 2017 |
14.1 A 2.9 TOPS/W deep convolutional neural network SoC in FD-SOI 28nm for intelligent embedded systems |
G Desoli, N Chawla, T Boesch, S Singh, E Guidetti |
| 2017 |
Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning |
G Bologna, Y Hayashi |
| 2017 |
Moving Object Detection in Heterogeneous Conditions in Embedded Systems |
A Garbo, S Quer |
| 2016 |
Re-architecting the on-chip memory sub-system of machine-learning accelerator for embedded devices |
Y Wang, H Li, X Li |
| 2016 |
DELAROSE: A Case Example of the Value of Embedded Course Content and Assessment in the Workplace |
JSG Wells, M Bergin, C Ryan |
| 2016 |
Neurosurgery Conference Experience Embedded within PCOM’s Clinical and Basic Neuroscience Curriculum: An Active Learning Model |
J Okun, S Yocom, M McGuiness, M Bell, D Appelt |
| 2016 |
Scene Parsing using Inference Embedded Deep Networks |
S Bu, P Han, Z Liu, J Han |
| 2016 |
Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers |
L Xia, X Zhang, B Li |
| 2016 |
Noise Robust Keyword Spotting Using Deep Neural Networks For Embedded Platforms |
R Abdelmoula |
| 2016 |
14.1 A 126.1 mW real-time natural UI/UX processor with embedded deep-learning core for low-power smart glasses |
S Park, S Choi, J Lee, M Kim, J Park, HJ Yoo |
| 2016 |
A wearable mobility aid for the visually impaired based on embedded 3D vision and deep learning |
M Poggi, S Mattoccia |
| 2016 |
Optimizing convolutional neural networks on embedded platforms with OpenCL |
A Lokhmotov, G Fursin |
| 2016 |
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX |
ND Lane, S Bhattacharya, P Georgiev, C Forlivesi |
| 2016 |
Feedback recurrent neural network-based embedded vector and its application in topic model |
L Li, S Gan, X Yin |
| 2016 |
Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning |
K Wang, S Zhai, H Cheng, X Liang, L Lin |
| 2015 |
Memory Heat Map: Anomaly Detection in Real-Time Embedded Systems Using Memory Behavior |
MK Yoon, S Mohan, J Choi, L Sha |
| 2015 |
Accelerating real-time embedded scene labeling with convolutional networks |
L Cavigelli, M Magno, L Benini |
| 2015 |
Business meeting training on its head: inverted and embedded learning |
E Van Praet |
| 2015 |
CNN optimizations for embedded systems and FFT |
A Vasilyev |
| 2015 |
Learning Socially Embedded Visual Representation from Scratch |
S Liu, P Cui, W Zhu, S Yang |
| 2015 |
Inter-Tile Reuse Optimization Applied to Bandwidth Constrained Embedded Accelerators |
M Peemen, B Mesman, H Corporaal |
| 2015 |
Emotion recognition from embedded bodily expressions and speech during dyadic interactions |
PM Müller, S Amin, P Verma, M Andriluka, A Bulling |
| 2015 |
Incremental extreme learning machine based on deep feature embedded |
J Zhang, S Ding, N Zhang, Z Shi |
| 2015 |
Utilizing deep neural nets for an embedded ECG-based biometric authentication system |
A Page, A Kulkarni, T Mohsenin |
| 2015 |
A scalable and adaptable probabilistic model embedded in an electronic nose for intelligent sensor fusion |
CT Tang, CM Huang, KT Tang, H Chen |
