Search Results for author: Liping Fu

Found 6 papers, 2 papers with code

Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)

no code implementations7 Jan 2021 Xingchen Zhou, Yan Gong, Xian-Min Meng, Xin Zhang, Ye Cao, Xuelei Chen, Valeria Amaro, Zuhui Fan, Liping Fu

This indicates that the neural network method is feasible and powerful for spec-z and photo-z estimations in future cosmological surveys.

Photometric Redshift Estimation Cosmology and Nongalactic Astrophysics

An Improved Deep Belief Network Model for Road Safety Analyses

no code implementations17 Dec 2018 Guangyuan Pan, Liping Fu, Lalita Thakali, Matthew Muresan, Ming Yu

In this paper, we attempt to demonstrate the potential of this new model for crash prediction through two case studies including a collision data set from 800 km stretch of Highway 401 and other highways in Ontario, Canada.

Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network

no code implementations17 Dec 2018 Guangyuan Pan, Liping Fu, Ruifan Yu, Matthew Muresan

Results show that the proposed model has the highest classification performance in comparison to the traditional machine learning techniques.

Classification General Classification

A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data

no code implementations26 Sep 2017 Wenwen Tu, Feng Xiao, Liping Fu, Guangyuan Pan

A total of 747, 856 sets of data are generated and used for both traffic flow states classification and sensitivity analysis of input variables.

Classification General Classification

CFHTLenS: A Weak Lensing Shear Analysis of the 3D-Matched-Filter Galaxy Clusters

1 code implementation11 Sep 2014 Jes Ford, Ludovic van Waerbeke, Martha Milkeraitis, Clotilde Laigle, Hendrik Hildebrandt, Thomas Erben, Catherine Heymans, Henk Hoekstra, Thomas Kitching, Yannick Mellier, Lance Miller, Ami Choi, Jean Coupon, Liping Fu, Michael J. Hudson, Konrad Kuijken, Naomi Robertson, Barnaby Rowe, Tim Schrabback, Malin Velander

We present the cluster mass-richness scaling relation calibrated by a weak lensing analysis of >18000 galaxy cluster candidates in the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS).

Cosmology and Nongalactic Astrophysics

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