Southwest University

∙ Beibei, Chongqing , China ∙ 0 followers

Broad Learning System Based on Maximum Correntropy Criterion

As an effective and efficient discriminative learning method, Broad Lear...
12/24/2019 ∙ by Yunfei Zheng, et al. ∙ 43 ∙ share

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Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization

Multi-view Multi-instance Multi-label Learning(M3L) deals with complex o...
05/13/2019 ∙ by Yuying Xing, et al. ∙ 12 ∙ share

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Multi-View Multiple Clusterings using Deep Matrix Factorization

Multi-view clustering aims at integrating complementary information from...
11/26/2019 ∙ by Shaowei Wei, et al. ∙ 10 ∙ share

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Partial Multi-label Learning with Label and Feature Collaboration

Partial multi-label learning (PML) models the scenario where each traini...
03/17/2020 ∙ by Tingting Yu, et al. ∙ 7 ∙ share

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ActiveHNE: Active Heterogeneous Network Embedding

Heterogeneous network embedding (HNE) is a challenging task due to the d...
05/14/2019 ∙ by Xia Chen, et al. ∙ 6 ∙ share

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Multiple Independent Subspace Clusterings

Multiple clustering aims at discovering diverse ways of organizing data ...
05/10/2019 ∙ by Xing Wang, et al. ∙ 4 ∙ share

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Multi-View Multiple Clustering

Multiple clustering aims at exploring alternative clusterings to organiz...
05/13/2019 ∙ by Shixing Yao, et al. ∙ 4 ∙ share

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Weakly-paired Cross-Modal Hashing

Hashing has been widely adopted for large-scale data retrieval in many d...
05/29/2019 ∙ by Xuanwu Liu, et al. ∙ 4 ∙ share

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Deep Incomplete Multi-View Multiple Clusterings

Multi-view clustering aims at exploiting information from multiple heter...
10/02/2020 ∙ by Shaowei Wei, et al. ∙ 3 ∙ share

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Generalization of Dempster-Shafer theory: A complex belief function

Dempster-Shafer evidence theory has been widely used in various fields o...
06/27/2019 ∙ by Fuyuan Xiao, et al. ∙ 2 ∙ share

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Ranking-based Deep Cross-modal Hashing

Cross-modal hashing has been receiving increasing interests for its low ...
05/11/2019 ∙ by Xuanwu Liu, et al. ∙ 1 ∙ share

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Attention-Aware Answers of the Crowd

Crowdsourcing is a relatively economic and efficient solution to collect...
12/24/2019 ∙ by Jingzheng Tu, et al. ∙ 1 ∙ share

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A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP

Pairwise comparison matrix as a crucial component of AHP, presents the p...
07/23/2016 ∙ by Xinyi Zhou, et al. ∙ 0 ∙ share

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Multiscale probability transformation of basic probability assignment

Decision making is still an open issue in the application of Dempster-Sh...
06/06/2014 ∙ by Meizhu Li, et al. ∙ 0 ∙ share

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A new combination approach based on improved evidence distance

Dempster-Shafer evidence theory is a powerful tool in information fusion...
04/18/2014 ∙ by Hongming Mo, et al. ∙ 0 ∙ share

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Generalized Evidence Theory

Conflict management is still an open issue in the application of Dempste...
04/17/2014 ∙ by Yong Deng, et al. ∙ 0 ∙ share

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Distance function of D numbers

Dempster-Shafer theory is widely applied in uncertainty modelling and kn...
04/13/2014 ∙ by Meizhu Li, et al. ∙ 0 ∙ share

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Modeling contaminant intrusion in water distribution networks based on D numbers

Efficient modeling on uncertain information plays an important role in e...
04/02/2014 ∙ by Li Gou, et al. ∙ 0 ∙ share

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D-CFPR: D numbers extended consistent fuzzy preference relations

How to express an expert's or a decision maker's preference for alternat...
03/23/2014 ∙ by Xinyang Deng, et al. ∙ 0 ∙ share

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Parameter estimation based on interval-valued belief structures

Parameter estimation based on uncertain data represented as belief struc...
02/15/2014 ∙ by Xinyang Deng, et al. ∙ 0 ∙ share

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Quantifying patterns of research interest evolution

Our quantitative understanding of how scientists choose and shift their ...
09/11/2017 ∙ by Tao Jia, et al. ∙ 0 ∙ share

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Diffusion Adaptation Framework for Compressive Sensing Reconstruction

Compressive sensing(CS) has drawn much attention in recent years due to ...
12/03/2017 ∙ by Yicong He, et al. ∙ 0 ∙ share

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Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links

Distributed estimation over networks draws much attraction in recent yea...
02/14/2018 ∙ by Yicong He, et al. ∙ 0 ∙ share

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SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes

In multiagent environments, the capability of learning is important for ...
03/08/2018 ∙ by Chengwei Zhang, et al. ∙ 0 ∙ share

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MedShare: Medical Resource Sharing among Autonomous Healthcare Providers

Legacy Electronic Health Records (EHRs) systems were not developed with ...
03/14/2018 ∙ by Yilong Yang, et al. ∙ 0 ∙ share

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Trajectory Design for Distributed Estimation in UAV Enabled Wireless Sensor Network

In this paper, we study an unmanned aerial vehicle(UAV)-enabled wireless...
05/11/2018 ∙ by Cheng Zhan, et al. ∙ 0 ∙ share

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Multi-sensor data fusion based on a generalised belief divergence measure

Multi-sensor data fusion technology plays an important role in real appl...
06/05/2018 ∙ by Fuyuan Xiao, et al. ∙ 0 ∙ share

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On Solving Ambiguity Resolution with Robust Chinese Remainder Theorem for Multiple Numbers

Chinese Remainder Theorem (CRT) is a powerful approach to solve ambiguit...
06/29/2018 ∙ by Hanshen Xiao, et al. ∙ 0 ∙ share

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Parameter Synthesis Problems for one parametric clock Timed Automata

In this paper, we study the parameter synthesis problem for a class of p...
09/15/2018 ∙ by Liyun Dai, et al. ∙ 0 ∙ share

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Coherence-Based Performance Guarantee of Regularized ℓ_1-Norm Minimization and Beyond

In this paper, we consider recovering the signal x∈R^n from its few nois...
12/10/2018 ∙ by Wendong Wang, et al. ∙ 0 ∙ share

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Collaboration based Multi-Label Learning

It is well-known that exploiting label correlations is crucially importa...
02/08/2019 ∙ by Lei Feng, et al. ∙ 0 ∙ share

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Deterministic Analysis of Weighted BPDN With Partially Known Support Information

In this paper, with the aid of the powerful Restricted Isometry Constant...
03/03/2019 ∙ by Wendong Wang, et al. ∙ 0 ∙ share

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From Co-prime to the Diophantine Equation Based Sparse Sensing in Complex Waveforms

For frequency estimation, the co-prime sampling tells that in time domai...
04/07/2019 ∙ by Hanshen Xiao, et al. ∙ 0 ∙ share

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A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation

The prevalent approaches of Chinese word segmentation task almost rely o...
05/21/2019 ∙ by Wei Jiang, et al. ∙ 0 ∙ share

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Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles

In previous work, theoretical analysis based on the tensor Restricted Is...
06/04/2019 ∙ by Feng Zhang, et al. ∙ 0 ∙ share

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RIP-based performance guarantee for low-tubal-rank tensor recovery

The essential task of multi-dimensional data analysis focuses on the ten...
06/05/2019 ∙ by Feng Zhang, et al. ∙ 0 ∙ share

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Evidential distance measure in complex belief function theory

In this paper, an evidential distance measure is proposed which can meas...
06/27/2019 ∙ by Fuyuan Xiao, et al. ∙ 0 ∙ share

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Generalized Belief Function: A new concept for uncertainty modelling and processing

In this paper, we generalize the belief function on complex plane from a...
07/03/2019 ∙ by Fuyuan Xiao, et al. ∙ 0 ∙ share

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China may need to support more small teams in scientific research

Modern science is dominated by scientific productions from teams. Large ...
02/29/2020 ∙ by Linlin Liu, et al. ∙ 0 ∙ share

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An analysis of noise folding for low-rank matrix recovery

Previous work regarding low-rank matrix recovery has concentrated on the...
03/06/2020 ∙ by Jianwen Huang, et al. ∙ 0 ∙ share

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The block mutual coherence property condition for signal recovery

Compressed sensing shows that a sparse signal can stably be recovered fr...
06/11/2020 ∙ by Jianwen Huang, et al. ∙ 0 ∙ share

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The perturbation analysis of nonconvex low-rank matrix robust recovery

In this paper, we bring forward a completely perturbed nonconvex Schatte...
06/11/2020 ∙ by Jianwen Huang, et al. ∙ 0 ∙ share

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The high-order block RIP for non-convex block-sparse compressed sensing

This paper concentrates on the recovery of block-sparse signals, which i...
06/11/2020 ∙ by Jianwen Huang, et al. ∙ 0 ∙ share

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Measuring similarity in co-occurrence data using ego-networks

The co-occurrence association is widely observed in many empirical data....
07/27/2020 ∙ by Xiaomeng Wang, et al. ∙ 0 ∙ share

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