3.1k citations · 3.3k across the 19 of their papers we have counts for
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3 papers · 1 filter
cs.LG2019★ 1 cited
Discriminant analysis based on projection onto generalized difference subspace
Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi +2
This paper discusses a new type of discriminant analysis based on the orthogonal projection of data onto a generalized difference subspace (GDS). In our previous work, we have demo…
cs.CV2019
Regularizing CNN Transfer Learning with Randomised Regression
Yang Zhong, Atsuto Maki
This paper is about regularizing deep convolutional networks (CNNs) based on an adaptive framework for transfer learning with limited training data in the target domain. Recent adv…
cs.RO2019★ 7 cited
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Di Feng, Xiao Wei, Lars Rosenbaum +2
Training a deep object detector for autonomous driving requires a huge amount of labeled data. While recording data via on-board sensors such as camera or LiDAR is relatively easy,…