Search Results for author: Xiaoyang Li

Found 4 papers, 0 papers with code

Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification

no code implementations9 Jul 2020 Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour, Xiaoyang Li, Pietro Antonio Cicalese, Badrinath Roysam, Vishal Patel, Maric Dragan, Hien Van Nguyen

Meta-learning aims to deliver an adaptive model that is sensitive to these underlying distribution changes, but requires many tasks during the meta-training process.

Active Learning General Classification +1

An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning

no code implementations10 Nov 2019 Dingzhu Wen, Xiaoyang Li, Qunsong Zeng, Jinke Ren, Kaibin Huang

Specifically, the metrics that measure data importance in active learning (e. g., classification uncertainty and data diversity) are applied to RRM for efficient acquisition of distributed data in wireless networks to train AI models at servers.

Active Learning

Attenuating Random Noise in Seismic Data by a Deep Learning Approach

no code implementations28 Oct 2019 Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, Xiaoyang Li

In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing.

RISAS: A Novel Rotation, Illumination, Scale Invariant Appearance and Shape Feature

no code implementations14 Mar 2016 Kanzhi Wu, Xiaoyang Li, Ravindra Ranasinghe, Gamini Dissanayake, Yong liu

This paper presents a novel appearance and shape feature, RISAS, which is robust to viewpoint, illumination, scale and rotation variations.

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