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ORCIDAICAS 2019: Hsinchu, Taiwan
- IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019, Hsinchu, Taiwan, March 18-20, 2019. IEEE 2019, ISBN 978-1-5386-7884-8
- Yang Zhao, Zhongxia Shang, Yong Lian
:
Auto Generation of High-Performance Fixed-Point Multiplier for Artificial Neural Networks. 1-5 - Linyan Mei, Mohit Dandekar, Dimitrios Rodopoulos, Jeremy Constantin, Peter Debacker, Rudy Lauwereins, Marian Verhelst:
Sub-Word Parallel Precision-Scalable MAC Engines for Efficient Embedded DNN Inference. 6-10 - Yuhang Zhang, Guanghui He, Kea-Tiong Tang, Guoxing Wang:
On-chip Learning of Multilayer Perceptron Based on Memristors with Limited Multilevel States. 11-12 - Hussein Assaf, Yvon Savaria, Mohamad Sawan:
Memristor Emulators for an Adaptive DPE Algorithm: Comparative Study. 13-17 - Min-Hui Lin, Chia-Hung Yeh, Chu-Han Lin, Chih-Hsiang Huang, Li-Wei Kang:
Deep Multi-Scale Residual Learning-based Blocking Artifacts Reduction for Compressed Images. 18-19 - Hai-Che Ting, Hung-Luen Fang, Jia-Shung Wang:
Complexity Reduction on HEVC Intra Mode Decision with modified LeNet-5. 20-24 - Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Fast event-driven incremental learning of hand symbols. 25-28 - Yuhuang Hu, Hong Ming Chen, Tobi Delbrück:
Slasher: Stadium racer car for event camera end-to-end learning autonomous driving experiments. 29-33 - Injune Yeo, Sang-Gyun Gi, Jung-Gyun Kim, Byung-Geun Lee:
A CMOS-based Resistive Crossbar Array with Pulsed Neural Network for Deep Learning Accelerator. 34-37 - Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo:
CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture. 38-41 - I-Chen Wu, Po-Tsang Huang, Chin-Yang Lo, Wei Hwang:
An Energy-Efficient Accelerator with Relative- Indexing Memory for Sparse Compressed Convolutional Neural Network. 42-45 - Yi-Heng Wu, Heng Lee, Yu Sheng Lin, Shao-Yi Chien:
Accelerator Design for Vector Quantized Convolutional Neural Network. 46-50 - Zhuo Zou, Yi Jin, Paavo Nevalainen, Yuxiang Huan, Jukka Heikkonen, Tomi Westerlund:
Edge and Fog Computing Enabled AI for IoT-An Overview. 51-56 - Vincent Camus, Christian C. Enz, Marian Verhelst:
Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing. 57-61 - Jose Granados, Haoming Chu, Zhuo Zou, Li-Rong Zheng:
Towards Workload-Balanced, Live Deep Learning Analytics for Confidentiality-Aware IoT Medical Platforms. 62-66 - Yu-Jin Lin, Chen-Wei Chuang, Chun-Yueh Yen, Sheng-Hsin Huang, Peng-Wei Huang, Ju-Yi Chen, Shuenn-Yuh Lee:
Artificial Intelligence of Things Wearable System for Cardiac Disease Detection. 67-70 - Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents. 71-75 - Yasufumi Sakai, Bruno U. Pedroni, Siddharth Joshi, Abraham Akinin, Gert Cauwenberghs:
DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity. 76-80 - Amirreza Yousefzadeh, Sahar Hosseini, Priscila C. Holanda, Sam Leroux, Thilo Werner, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Bart Dhoedt, Pieter Simoens:
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization. 81-85 - Germain Haessig, Francesco Galluppi, Xavier Lagorce, Ryad Benosman:
Neuromorphic networks on the SpiNNaker platform. 86-91 - Yu-Hsiu Sun, Tzi-Dar Chiueh:
A Flexible and High-Performance Self-Organizing Feature Map Training Acceleration Circuit and Its Applications. 92-96 - Yu-Chi Lee, Tai-Shih Chi, Chia-Hsiang Yang:
A 2.17mW Acoustic DSP Processor with CNN-FFT Accelerators for Intelligent Hearing Aided Devices. 97-101 - Kai-Yen Wang, Yu-De Huang, Yun-Lung Ho, Wai-Chi Fang:
A Customized Convolutional Neural Network Design Using Improved Softmax Layer for Real-time Human Emotion Recognition. 102-106 - Donghyeon Lee, Sang-Heon Lee, Ho Seong Lee, Hyuk-Jae Lee, Kyujoong Lee:
Context-Preserving Filter Reorganization for VDSR-Based Super-resolution. 107-111 - Lin Li, Peter Deaville, Adrian E. Sapio, Lauri Anttila, Mikko Valkama, Marilyn Wolf, Shuvra S. Bhattacharyya:
A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. 112-116 - Shih-Yu Chen, Gwo Giun Chris Lee, Tai-Ping Wang, Chin-Wei Huang, Jia-Hong Chen, Chang-Ling Tsai:
Reconfigurable Edge via Analytics Architecture. 117-121 - Hao Zhang, Jiongrui He, Seok-Bum Ko:
Improved Hybrid Memory Cube for Weight-Sharing Deep Convolutional Neural Networks. 122-126 - Youngsu Kwon, Jeongmin Yang, Yong Cheol Peter Cho, Kyoung-Seon Shin, Jaehoon Chung, Jinho Han, Chun-Gi Lyuh, Hyun-Mi Kim, Chan Kim, Min-Seok Choi:
Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture. 127-131 - Youhak Lee, Chulhee Lee, Hyuk-Jae Lee, Jin-Sung Kim:
Fast Detection of Objects Using a YOLOv3 Network for a Vending Machine. 132-136 - En-Jui Chang, Abbas Rahimi, Luca Benini, An-Yeu Andy Wu:
Hyperdimensional Computing-based Multimodality Emotion Recognition with Physiological Signals. 137-141 - Kai-Yen Wang, Yun-Lung Ho, Yu-De Huang, Wai-Chi Fang:
Design of Intelligent EEG System for Human Emotion Recognition with Convolutional Neural Network. 142-145 - Ting-Wei Sun, An-Yeu Andy Wu:
Sparse Autoencoder with Attention Mechanism for Speech Emotion Recognition. 146-149 - Yu-Ting Lo, Syu-Siang Wang, Yu Tsao, Sheng-Yu Peng:
A Pruned-CELP Speech Codec Using Denoising Autoencoder with Spectral Compensation for Quality and Intelligibility Enhancement. 150-151 - Kuang-Ying Chang, Kuan-Ting Chen, Wei-Hsuan Ma, Yin-Tsung Hwang:
An Enhanced MUSIC DoA Scanning Scheme for Array Radar Sensing in Autonomous Movers. 152-153 - Matthew Ardi, Alexander C. Berg, Bo Chen, Yen-Kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun:
Special Session: 2018 Low-Power Image Recognition Challenge and Beyond. 154-157 - Chiapin Wang, Jen-Hau Chan, Shih-Hau Fang, Ho-Ti Cheng, Yeh-Liang Hsu:
Novel Sleep Apnea Detection Based on UWB Artificial Intelligence Mattress. 158-159 - Chiapin Wang, Tsung-Yi Fan Chiang, Shih-Hau Fang, Chieh-Ju Li, Yeh-Liang Hsu:
Machine Learning Based Sleep-Status Discrimination Using a Motion Sensing Mattress. 160-162 - Chieh Tsou, Chi-Chung Liao, Shuenn-Yuh Lee:
Epilepsy Identification System with Neural Network Hardware Implementation. 163-166 - Tung-Chien Chen, Wei-Ting Wang, Kloze Kao, Chia-Lin Yu, Code Lin, Shu-Hsin Chang, Pei-Kuei Tsung:
NeuroPilot: A Cross-Platform Framework for Edge-AI. 167-170 - Jinzhang Peng, Lu Tian, Xijie Jia, Haotian Guo, Yongsheng Xu, Dongliang Xie, Hong Luo, Yi Shan, Yu Wang:
Multi-task ADAS system on FPGA. 171-174 - Yang Zhao, Simon Lin, Zhongxia Shang, Yong Lian:
Classification of Cardiac Arrhythmias Based on Artificial Neural Networks and Continuous-in-Time Discrete-in-Amplitude Signal Flow. 175-178 - Shijin Song, Yongxin Zhu, Junjie Hou, Yu Zheng, Tian Huang, Sen Du:
Improved Convolutional Neutral Network Based Model for Small Visual Object Detection in Autonomous Driving. 179-183 - Xiaoyu Feng, Jinshan Yue, Qingwei Guo, Huazhong Yang, Yongpan Liu:
Accelerating CNN-RNN Based Machine Health Monitoring on FPGA. 184-188 - Qingsong Xie, Yongfu Li, Guoxing Wang, Yong Lian:
Heart Rate Estimation from Ballistocardiogram Using Hilbert Transform and Viterbi Decoding. 189-193 - Wei-Che Huang, Pau-Choo Chung, Hung-Wen Tsai, Nan-Haw Chow, Ying-Zong Juang, Hann-Huei Tsai, Shih-Hsuan Lin, Cheng-Hsiung Wang:
Automatic HCC Detection Using Convolutional Network with Multi-Magnification Input Images. 194-198 - Cheng-En Ko, Po-Han Chen, Wei-Ming Liao, Cheng-Kai Lu, Cheng-Hung Lin, Jing-Wen Liang:
Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. 199-200 - Tran Minh Quan, Takuyoshi Doike, Cong Dang Bui, Kenya Hayashi, Shigeki Arata, Atsuki Kobayashi, Md. Zahidul Islam, Kiichi Niitsu:
AI-Based Edge-Intelligent Hypoglycemia Prediction System Using Alternate Learning and Inference Method for Blood Glucose Level Data with Low-periodicity. 201-206 - Wan-Jung Chang, Yue-Xun Yu, Jhen-Hao Chen, Zhi-Yao Zhang, Sung-Jie Ko, Tsung-Han Yang, Chia-Hao Hsu, Liang-Bi Chen, Ming-Che Chen:
A Deep Learning Based Wearable Medicines Recognition System for Visually Impaired People. 207-208 - Kang-Lin Wang, Chi-Bang Kuan, Jiann-Fuh Liaw, Wei-Liang Kuo:
Autopiler: An AI Based Framework for Program Autotuning and Options Recommendation. 209-213 - Wei-Fen Lin, Der-Yu Tsai, Luba Tang, Cheng-Tao Hsieh, Cheng-Yi Chou, Ping-Hao Chang, Luis Hsu:
ONNC: A Compilation Framework Connecting ONNX to Proprietary Deep Learning Accelerators. 214-218 - Huang-Yu Yao, Hsuan-Pei Huang, Yu-Chi Huang, Chung-Chuan Lo:
Flyintel - a Platform for Robot Navigation based on a Brain-Inspired Spiking Neural Network. 219-220 - I-Lok Cheng, Ching-Hwa Cheng, Don-Gey Liu:
A Learnable Unmanned Smart Logistics Prototype System Design and Implementation. 221-224 - Tong-Yu Hsieh, Yuan-Cheng Lin, Hsin-Yung Shen:
On Automatic Generation of Training Images for Machine Learning in Automotive Applications. 225-228 - Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini:
Online Anomaly Detection in HPC Systems. 229-233 - Yi-Hsiang Chen, Shao-Yi Chien:
Configurable Texture Unit for Convolutional Neural Networks on Graphics Processing Units. 234-238 - Sang-Gyun Gi, Injune Yeo, Byung-Geun Lee:
Implementation of STDP Learning for Non-volatile Memory-based Spiking Neural Network using Comparator Metastability. 239-243 - Amir Zjajo, Sumeet S. Kumar, Rene van Leuken:
Heterogeneous Activation Function Extraction for Training and Optimization of SNN Systems. 244-245 - Pablo M. Tostado, Bruno U. Pedroni, Gert Cauwenberghs:
Performance Trade-offs in Weight Quantization for Memory-Efficient Inference. 246-250 - Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. 251-255 - Sunwoo Kim, Chungman Lee, Haesung Park, Jooho Wang, Sungkyung Park, Chester Sungchung Park:
Optimizations of Scatter Network for Sparse CNN Accelerators. 256-257 - Tae-Sun Kim, Ji-Hoon Bae, Myung Hoon Sunwoo:
Fast Convolution Algorithm for Convolutional Neural Networks. 258-261 - Olga Krestinskaya, Alex Pappachen James:
AnalogHTM: Memristive Spatial Pooler Learning with Backpropagation. 262-266 - Jason Kamran Eshraghian, Sung-Mo Kang, Seungbum Baek, Garrick Orchard, Herbert Ho-Ching Iu, Wen Lei:
Analog Weights in ReRAM DNN Accelerators. 267-271 - Olga Krestinskaya, Adilya Bakambekova, Alex Pappachen James:
AMSNet: Analog Memristive System Architecture for Mean-Pooling with Dropout Convolutional Neural Network. 272-273 - Olga Krestinskaya, Otaniyoz Otaniyozov, Alex Pappachen James:
Binarized Neural Network with Stochastic Memristors. 274-275 - Xuyang Guo, Yuanjun Huang, Hsin-Pai Cheng, Bing Li, Wei Wen, Siyuan Ma, Hai Helen Li, Yiran Chen:
Exploration of Automatic Mixed-Precision Search for Deep Neural Networks. 276-278 - Lukas Cavigelli, Luca Benini:
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. 279-283 - Jongmin Park, Seungsik Moon, Younghoon Byun, Sunggu Lee, Youngjoo Lee:
Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network. 284-287 - Tifenn Hirtzlin, Marc Bocquet, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. 288-292 - Chia-Ching Wang, Hsin-Hua Liu, Soo-Chang Pei, Kuan-Hsien Liu, Tsung-Jung Liu:
Modern Architecture Style Transfer for Ruin Buildings. 293-294 - Kuan-Hsien Liu, Hsin-Hua Liu, Soo-Chang Pei, Tsung-Jung Liu, Chun-Te Chang:
Age Estimation on Low Quality Face Images. 295-296 - Sheng-Yu He, Chih-Peng Fan:
SIFT Features and SVM Learning based Sclera Recognition Method with Efficient Sclera Segmentation for Identity Identification. 297-298 - Nhan Duy Truong, Omid Kavehei:
Low Precision Electroencephalogram for Seizure Detection with Convolutional Neural Network. 299-301 - Lih-Yih Chiou, Tsung-Han Yang, Jian-Tang Syu, Che-Pin Chang, Yeong-Jar Chang:
Intelligent Policy Selection for GPU Warp Scheduler. 302-303 - Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. 304-308 - Jooho Wang, Jiwon Kim, Sungmin Moon, Sunwoo Kim, Sungkyung Park, Chester Sungchung Park:
Spatial Data Dependence Graph Simulator for Convolutional Neural Network Accelerators. 309-310 - Cheng-Hsuan Cheng, Ren-Shuo Liu:
AIP: Saving the DRAM Access Energy of CNNs Using Approximate Inner Products. 311-315
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last updated on 2024-09-19 23:32 CEST by the dblp team
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