TA5a: Machine Learning and Hardware Aspects |
| Session Type: Oral |
| Time: Tuesday, October 30, 08:15 - 09:55 |
| Location: Scripps |
| Session Chair: Tokunbo Ogunfunmi, Santa Clara University |
| TA5a-1: EFFICIENT RECONFIGURABLE HARDWARE CORE FOR CONVOLUTIONAL NEURAL NETWORKS |
| Haonan Wang; Nanjing University |
| Jun Lin; Nanjing University |
| Yi Xie; Rutgers University |
| Bo Yuan; Rutgers University |
| Zhongfeng Wang; Nanjing University |
| TA5a-2: AREA-EFFICIENT K-NEAREST NEIGHBOR DESIGN USING STOCHASTIC COMPUTING |
| Yi Xie; Rutgers University |
| Chunhua Deng; Rutgers University |
| Siyu Liao; Rutgers University |
| Bo Yuan; Rutgers University |
| TA5a-3: ELASTO-NET: AN HDL CONVERSION FRAMEWORK FOR CONVOLUTIONAL NEURAL NETWORKS |
| Anaam Ansari; Santa Clara University |
| Tokunbo Ogunfunmi; Santa Clara University |
| TA5a-4: BAYESIAN BELIEF NETWORK BASED OCCUPANCY ASSESSMENT FRAMEWORK |
| Mohsin M Jamali; University of Texas of Permian Basin |
| Golrokh Mirzaei; Ohio State University |