390 citations · 836 across the 16 of their papers we have counts for
5 papers · 1 filter
Incremental ELMVIS for unsupervised learning
Anton Akusok, Emil Eirola, Yoan Miche +5
An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The me…
NADS-Net: A Nimble Architecture for Driver and Seat Belt Detection via Convolutional Neural Networks
Sehyun Chun, Nima Hamidi Ghalehjegh, Joseph B. Choi +4
A new convolutional neural network (CNN) architecture for 2D driver/passenger pose estimation and seat belt detection is proposed in this paper. The new architecture is more nimble…
Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship
Suyong Song, Stephen S. Baek
We study the association between physical appearance and family income using a novel data which has 3-dimensional body scans to mitigate the issue of reporting errors and measureme…
Multi-scale Embedded CNN for Music Tagging (MsE-CNN)
Nima Hamidi, Mohsen Vahidzadeh, Stephen Baek
Convolutional neural networks (CNN) recently gained notable attraction in a variety of machine learning tasks: including music classification and style tagging. In this work, we pr…
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Baek, Yusen He, Bryan G. Allen +13
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that…