Learning Safe Policies with Expert Guidance

no code implementations • NeurIPS 2018 • Jessie Huang, Fa Wu, Doina Precup, Yang Cai

We propose a framework for ensuring safe behavior of a reinforcement learning agent when the reward function may be difficult to specify.

reinforcement-learning Reinforcement Learning (RL)

Automatic 3D liver location and segmentation via convolutional neural networks and graph cut

no code implementations • 10 May 2016 • Fang Lu, Fa Wu, Peijun Hu, Zhiyi Peng, Dexing Kong

Purpose Segmentation of the liver from abdominal computed tomography (CT) image is an essential step in some computer assisted clinical interventions, such as surgery planning for living donor liver transplant (LDLT), radiotherapy and volume measurement.

Computed Tomography (CT) Segmentation

Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification

no code implementations • 31 Jul 2015 • Fa Wu, Peijun Hu, Dexing Kong

We also introduce two rotational convolution techniques, i. e. rotate-pooling convolution (RPC) and flip-rotate-pooling convolution (FRPC) to boost CNNs' performance on the robustness for rotation transformation.

Classification General Classification +1