research
∙
02/10/2023
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval
Same-style products retrieval plays an important role in e-commerce plat...
share
research
∙
12/07/2022
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation
Estimating the probability of failure for complex real-world systems usi...
research
∙
12/06/2022
Probabilistic Shape Completion by Estimating Canonical Factors with Hierarchical VAE
We propose a novel method for 3D shape completion from a partial observa...
research
∙
11/20/2022
Multifidelity Active Learning for Failure Estimation of TRISO Nuclear Fuel
The Tristructural isotropic (TRISO)-coated particle fuel is a robust nuc...
research
∙
01/06/2022
Reliability Estimation of an Advanced Nuclear Fuel using Coupled Active Learning, Multifidelity Modeling, and Subset Simulation
Tristructural isotropic (TRISO)-coated particle fuel is a robust nuclear...
research
∙
05/11/2021
Bayesian Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing Using Experimental Data
Additive manufacturing (AM) technology is being increasingly adopted in ...
research
∙
03/04/2021
Analysing Wideband Absorbance Immittance in Normal and Ears with Otitis Media with Effusion Using Machine Learning
Wideband Absorbance Immittance (WAI) has been available for more than a ...
research
∙
02/12/2021
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
A bipartite network is a graph structure where nodes are from two distin...
research
∙
06/15/2020
Coherent Reconstruction of Multiple Humans from a Single Image
In this work, we address the problem of multi-person 3D pose estimation ...
research
∙
04/01/2020
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Network embedding aims to learn low-dimensional representations of nodes...
research
∙
01/06/2020
Deep Snake for Real-Time Instance Segmentation
This paper introduces a novel contour-based approach named deep snake fo...
research
∙
01/29/2019
On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation
Probability theory and Dempster-Shafer theory are two germane theories t...
research
∙
01/14/2019
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
This paper addresses the problem of 3D pose estimation for multiple peop...
research
∙
12/25/2017
A total uncertainty measure for D numbers based on belief intervals
As a generalization of Dempster-Shafer theory, the theory of D numbers i...
research
∙
11/25/2017
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment
Adversarial decision making is a particular type of decision making prob...
research
∙
09/08/2017
Uncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks
Social dilemmas have been regarded as the essence of evolution game theo...
research
∙
05/10/2017
An evidential Markov decision making model
The sure thing principle and the law of total probability are basic laws...
research
∙
05/07/2017
A New Medical Diagnosis Method Based on Z-Numbers
How to handle uncertainty in medical diagnosis is an open issue. In this...
research
∙
04/17/2017
Quantum Mechanical Approach to Modelling Reliability of Sensor Reports
Dempster-Shafer evidence theory is wildly applied in multi-sensor data f...
research
∙
03/06/2017
A new belief Markov chain model and its application in inventory prediction
Markov chain model is widely applied in many fields, especially the fiel...
research
∙
12/19/2016
A modified Physarum-inspired model for the user equilibrium traffic assignment problem
The user equilibrium traffic assignment principle is very important in t...
research
∙
12/16/2016
