Search Results for author: Nan Cao

Found 7 papers, 2 papers with code

Distributed Optimal Margin Distribution Machine

no code implementations29 Sep 2021 Yilin Wang, Nan Cao, Teng Zhang, Hai Jin

Optimal margin Distribution Machine (ODM), a newly proposed statistical learning framework rooting in the novel margin theory, demonstrates better generalization performance than the traditional large margin based counterparts.

Deep Co-Attention Network for Multi-View Subspace Learning

1 code implementation15 Feb 2021 Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He

For example, given the diagnostic result that a model provided based on the X-ray images of a patient at different poses, the doctor needs to know why the model made such a prediction.

Visual Causality Analysis of Event Sequence Data

no code implementations1 Sep 2020 Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao

Unfortunately, recovering causalities from observational event sequences is challenging, as the heterogeneous and high-dimensional event variables are often connected to rather complex underlying event excitation mechanisms that are hard to infer from limited observations.

Task-Oriented Optimal Sequencing of Visualization Charts

1 code implementation7 Aug 2019 Danqing Shi, Yang Shi, Xinyue Xu, Nan Chen, Siwei Fu, Hongjin Wu, Nan Cao

A chart sequence is used to describe a series of visualization charts generated in the exploratory analysis by data analysts.

Anomaly Detection

EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data

no code implementations29 Jul 2019 Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu

A suite of visualizations is designed to illustrate the dynamics of city segmentation and the corresponding interactions are added to support the exploration of the segmentation patterns over time.

Visual Analytics of Anomalous User Behaviors: A Survey

no code implementations14 May 2019 Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao

The increasing accessibility of data provides substantial opportunities for understanding user behaviors.

Anomaly Detection

CNNComparator: Comparative Analytics of Convolutional Neural Networks

no code implementations15 Oct 2017 Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, Huamin Qu

Often, it is difficult to explore the relationships between the learned parameters and the model performance due to a large number of parameters and different random initializations.

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