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20232026
most citedEstimation of embedding vectors in high dimensions

1 citations · 2 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023★ 1 cited

Estimation of embedding vectors in high dimensions

Golara Ahmadi Azar, Melika Emami, Alyson Fletcher +1

Embeddings are a basic initial feature extraction step in many machine learning models, particularly in natural language processing. An embedding attempts to map data tokens to a l…

eess.SY2023★ 1 cited

5G Edge Vision: Wearable Assistive Technology for People with Blindness and Low Vision

Tommy Azzino, Marco Mezzavilla, Sundeep Rangan +2

In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information. From…

cs.CV2023

A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction

Yu Hao, Fan Yang, Hao Huang +5

People with blindness and low vision (pBLV) encounter substantial challenges when it comes to comprehensive scene recognition and precise object identification in unfamiliar enviro…

eess.SP2023

A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning

Golara Ahmadi Azar, Qin Hu, Melika Emami +3

Hand gesture recognition (HGR) has gained significant attention due to the increasing use of AI-powered human-computer interfaces that can interpret the deep spatiotemporal dynamic…

cs.HC2023

ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding

Qin Hu, Golara Ahmadi Azar, Alyson Fletcher +2

Surface electromyography (sEMG) and high-density sEMG (HD-sEMG) biosignals have been extensively investigated for myoelectric control of prosthetic devices, neurorobotics, and more…