Yiqiang Chen

A coarse-to-fine feature selection method for accurate detection of cerebral small vessel disease

2016

Cerebral small vessel disease (SVD) is common in the elderly and is associated with loss of functional independence, institutionalization, and death. In this paper, we propose a coarse-to-fine feature selection method for accurate SVD detection …

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

2018 · arXiv (Cornell University)

Visual domain adaptation aims to learn robust classifiers for the target domain by leveraging knowledge from a source domain. Existing methods either attempt to align the cross-domain distributions, or perform manifold subspace learning. However, there …

Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning

2019

Deep unsupervised domain adaptation (UDA) has recently received increasing attention from researchers. However, existing methods are computationally intensive due to the computation cost of Convolutional Neural Networks (CNN) adopted by most work. To date, there …