Beijing University of Technology

∙ Beijing , China ∙ 0 followers

Beijing University of Technology, also called Beijing Polytechnic University or Bei Gong Da, is recognized as one of the Project 211 universities.

Line Flow based SLAM

We propose a method of visual SLAM by predicting and updating line flows...
09/21/2020 ∙ by Qiuyuan Wang, et al. ∙ 11 ∙ share

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Water Preservation in Soan River Basin using Deep Learning Techniques

Water supplies are crucial for the development of living beings. However...
06/26/2019 ∙ by Sadaqat ur Rehman, et al. ∙ 4 ∙ share

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Stochastic Runtime Analysis of a Cross Entropy Algorithm for Traveling Salesman Problems

This article analyzes the stochastic runtime of a Cross-Entropy Algorith...
12/21/2016 ∙ by Zijun Wu, et al. ∙ 0 ∙ share

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Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Dimensionality reduction for high-order tensors is a challenging problem...
07/03/2017 ∙ by Fujiao Ju, et al. ∙ 0 ∙ share

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Localized LRR on Grassmann Manifolds: An Extrinsic View

Subspace data representation has recently become a common practice in ma...
05/17/2017 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications

Partial least squares regression (PLSR) has been a popular technique to ...
09/21/2016 ∙ by Haoran Chen, et al. ∙ 0 ∙ share

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Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance

In multi-camera video surveillance, it is challenging to represent video...
06/13/2016 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds

As a significant subspace clustering method, low rank representation (LR...
01/21/2016 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Kernelized LRR on Grassmann Manifolds for Subspace Clustering

Low rank representation (LRR) has recently attracted great interest due ...
01/09/2016 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis

The probabilistic principal component analysis (PPCA) is built upon a gl...
01/07/2016 ∙ by Fujiao Ju, et al. ∙ 0 ∙ share

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Matrix Variate RBM and Its Applications

Restricted Boltzmann Machine (RBM) is an importan- t generative model mo...
01/05/2016 ∙ by Guanglei Qi, et al. ∙ 0 ∙ share

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Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation

The paper addresses the problem of optimizing a class of composite funct...
12/07/2015 ∙ by Haoran Chen, et al. ∙ 0 ∙ share

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Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective

Many computer vision algorithms employ subspace models to represent data...
04/08/2015 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Kernelized Low Rank Representation on Grassmann Manifolds

Low rank representation (LRR) has recently attracted great interest due ...
04/08/2015 ∙ by Boyue Wang, et al. ∙ 0 ∙ share

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Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

Tensors or multiarray data are generalizations of matrices. Tensor clust...
04/07/2015 ∙ by Yanfeng Sun, et al. ∙ 0 ∙ share

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Connectivity-preserving Geometry Images

We propose connectivity-preserving geometry images (CGIMs), which map a ...
12/31/2013 ∙ by Shaofan Wang, et al. ∙ 0 ∙ share

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A Workload-Specific Memory Capacity Configuration Approach for In-Memory Data Analytic Platforms

We propose WSMC, a workload-specific memory capacity configuration appro...
12/15/2017 ∙ by Yi Liang, et al. ∙ 0 ∙ share

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Improving the Quality of Random Number Generators by Applying a Simple Ratio Transformation

It is well-known that the quality of random number generators can often ...
12/21/2016 ∙ by Michael Kolonko, et al. ∙ 0 ∙ share

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Truly Concurrent Process Algebra with Timing

We extend truly concurrent process algebra APTC with timing related prop...
09/05/2017 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Communicating Concurrent Processes

Process algebra CSP only permits a process to engage in one event on a m...
03/03/2018 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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A Unified Framework of Deep Neural Networks by Capsules

With the growth of deep learning, how to describe deep neural networks u...
05/09/2018 ∙ by Yujian Li, et al. ∙ 0 ∙ share

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Image Classification Based on Quantum KNN Algorithm

Image classification is an important task in the field of machine learni...
05/16/2018 ∙ by Yijie Dang, et al. ∙ 0 ∙ share

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Selfishness need not be bad: a general proof

This article studies the user behavior in non-atomic congestion games. W...
05/20/2018 ∙ by Zijun Wu, et al. ∙ 0 ∙ share

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Multi-objective Non-cooperative Game Model for Cost-based Task Scheduling in Computational Grid

Task scheduling is an important and complex problem in computational gri...
07/15/2018 ∙ by Ziyan Gao, et al. ∙ 0 ∙ share

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Structured Parallel Programming Language Based on True Concurrency

Based on our previous work on algebraic laws for true concurrency, we de...
10/31/2018 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing for Open Systems

Based on our previous work on truly concurrent process algebra, we use i...
11/02/2018 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Relation of Web Service Orchestration, Abstract Process, Web Service and Choreography

We refine the relation of Web service orchestration, abstract process, W...
11/08/2018 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Edge-Based Blur Kernel Estimation Using Sparse Representation and Self-Similarity

Blind image deconvolution is the problem of recovering the latent image ...
11/17/2018 ∙ by Jing Yu, et al. ∙ 0 ∙ share

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Dual Reweighted Lp-Norm Minimization for Salt-and-pepper Noise Removal

The robust principle analysis (RPCA), which aims to estimate underlying ...
11/22/2018 ∙ by Huiwen Donga, et al. ∙ 0 ∙ share

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Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing

Based on our previous work on truly concurrent process algebra, we use i...
11/02/2018 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy

Two important characteristics of multi-objective evolutionary algorithms...
01/03/2019 ∙ by Xinwu Yang, et al. ∙ 0 ∙ share

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A Capsule-unified Framework of Deep Neural Networks for Graphical Programming

Recently, the growth of deep learning has produced a large number of dee...
03/07/2019 ∙ by Yujian Li, et al. ∙ 0 ∙ share

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Robust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications

In this paper, we focus on the phenomenon of beam misalignment in Millim...
03/22/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Hybrid Precoder and Combiner for Imperfect Beam Alignment in mmWave MIMO Systems

In this letter, we aim to design a robust hybrid precoder and combiner a...
03/22/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

In this paper we investigate into the problem of image quality assessmen...
04/18/2019 ∙ by Ke Gu, et al. ∙ 0 ∙ share

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Aeronautical Ad Hoc Networking for the Internet-Above-The-Clouds

The engineering vision of relying on the "smart sky" for supporting air ...
05/17/2019 ∙ by Jiankang Zhang, et al. ∙ 0 ∙ share

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Algebra of Concurrent Games

We introduce parallelism into the basic algebra of games to model concur...
06/08/2019 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Truly Concurrent Bisimilarities are Game Equivalent

We design games for truly concurrent bisimilarities, including strongly ...
06/27/2019 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Operational Semantics of Games

We introduce operational semantics into games. And based on the operatio...
07/05/2019 ∙ by Yong Wang, et al. ∙ 0 ∙ share

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Finding Salient Context based on Semantic Matching for Relevance Ranking

In this paper, we propose a salient-context based semantic matching meth...
09/03/2019 ∙ by Yuanyuan Qi, et al. ∙ 0 ∙ share

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Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications

Ultra-reliable and low-latency communications (URLLC) are considered as ...
09/06/2019 ∙ by Zhanwei Hou, et al. ∙ 0 ∙ share

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Improving Interpretability of Word Embeddings by Generating Definition and Usage

Word Embeddings, which encode semantic and syntactic features, have achi...
12/12/2019 ∙ by Haitong Zhang, et al. ∙ 0 ∙ share

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Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent

Fusing low level and high level features is a widely used strategy to pr...
12/17/2019 ∙ by Tian Liu, et al. ∙ 0 ∙ share

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Effective Model Calibration via Sensible Variable Identification and Adjustment, with Application to Composite Fuselage Simulation

Estimation of model parameters of computer simulators, also known as cal...
12/29/2019 ∙ by Yan Wang, et al. ∙ 0 ∙ share

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On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models

Kernel ridge regression is an important nonparametric method for estimat...
01/01/2020 ∙ by Rui Tuo, et al. ∙ 0 ∙ share

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Probabilistic K-means Clustering via Nonlinear Programming

K-means is a classical clustering algorithm with wide applications. Howe...
01/10/2020 ∙ by Yujian Li, et al. ∙ 0 ∙ share

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Robust block preconditioners for poroelasticity

In this paper we study the linear systems arising from discretized poroe...
01/22/2020 ∙ by Shuangshuang Chen, et al. ∙ 0 ∙ share

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Understanding Global Loss Landscape of One-hidden-layer ReLU Neural Networks

For one-hidden-layer ReLU networks, we show that all local minima are gl...
02/12/2020 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Geometry and Topology of Deep Neural Networks' Decision Boundaries

Geometry and topology of decision regions are closely related with class...
03/07/2020 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Understanding Global Loss Landscape of One-hidden-layer ReLU Networks, Part 2: Experiments and Analysis

The existence of local minima for one-hidden-layer ReLU networks has bee...
06/15/2020 ∙ by Bo Liu, et al. ∙ 0 ∙ share

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Beijing University of Technology

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