no code implementations • CVPR 2022 • Xiran Fan, Chun-Hao Yang, Baba C. Vemuri
In this paper, we present a novel fully hyperbolic neural network which uses the concept of projections (embeddings) followed by an intrinsic aggregation and a nonlinearity all within the hyperbolic space.
1 code implementation • 27 Oct 2020 • Chun-Hao Yang, Baba C. Vemuri
With the proposed NG structure, we develop algorithms for the supervised and unsupervised dimensionality reduction problems respectively.
no code implementations • 2 Mar 2020 • Jose J. Bouza, Chun-Hao Yang, David Vaillancourt, Baba C. Vemuri
Our goal in this paper is to generalize convolutional neural networks (CNN) to the manifold-valued image case which arises commonly in medical imaging and computer vision applications.
no code implementations • 31 May 2018 • Rudrasis Chakraborty, Chun-Hao Yang, Baba C. Vemuri
The other alternative to increase the performance is to learn multiple weak classifiers and boost their performance using a boosting algorithm or a variant thereof.
1 code implementation • NeurIPS 2018 • Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba C. Vemuri
We show how recurrent statistical recurrent network models can be defined in such spaces.
no code implementations • 13 Jul 2016 • Ray-Bing Chen, Kuang-Hung Cheng, Sheng-Mao Chang, Shuen-Lin Jeng, Ping-Yang Chen, Chun-Hao Yang, Chi-Chun Hsia
In this work, we consider a manufactory process which can be described by a multiple-instance logistic regression model.