Beijing University of Technology

research

∙ 09/21/2020

Line Flow based SLAM

We propose a method of visual SLAM by predicting and updating line flows...

Qiuyuan Wang, et al. ∙

research

∙ 06/26/2019

Water Preservation in Soan River Basin using Deep Learning Techniques

Water supplies are crucial for the development of living beings. However...

Sadaqat ur Rehman, et al. ∙

research

∙ 05/02/2022

COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas

Maintaining a consistent persona is essential for building a human-like ...

Chen Xu, et al. ∙

research

∙ 12/21/2016

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

This article analyzes the stochastic runtime of a Cross-Entropy Algorith...

Zijun Wu, et al. ∙

research

∙ 07/03/2017

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Dimensionality reduction for high-order tensors is a challenging problem...

Fujiao Ju, et al. ∙

research

∙ 05/17/2017

Localized LRR on Grassmann Manifolds: An Extrinsic View

Subspace data representation has recently become a common practice in ma...

Boyue Wang, et al. ∙

research

∙ 09/21/2016

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

Partial least squares regression (PLSR) has been a popular technique to ...

Haoran Chen, et al. ∙

research

∙ 06/13/2016

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...

Boyue Wang, et al. ∙

research

∙ 01/21/2016

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds

As a significant subspace clustering method, low rank representation (LR...

Boyue Wang, et al. ∙

research

∙ 01/09/2016

Kernelized LRR on Grassmann Manifolds for Subspace Clustering

Low rank representation (LRR) has recently attracted great interest due ...

Boyue Wang, et al. ∙

research

∙ 01/07/2016

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

The probabilistic principal component analysis (PPCA) is built upon a gl...

Fujiao Ju, et al. ∙

research

∙ 01/05/2016

Matrix Variate RBM and Its Applications

Restricted Boltzmann Machine (RBM) is an importan- t generative model mo...

Guanglei Qi, et al. ∙

research

∙ 12/07/2015

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...

Haoran Chen, et al. ∙

research

∙ 04/08/2015

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective

Many computer vision algorithms employ subspace models to represent data...

Boyue Wang, et al. ∙

research

∙ 04/08/2015

Kernelized Low Rank Representation on Grassmann Manifolds

Low rank representation (LRR) has recently attracted great interest due ...

Boyue Wang, et al. ∙

research

∙ 04/07/2015

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

Tensors or multiarray data are generalizations of matrices. Tensor clust...

Yanfeng Sun, et al. ∙

research

∙ 12/31/2013

Connectivity-preserving Geometry Images

We propose connectivity-preserving geometry images (CGIMs), which map a ...

Shaofan Wang, et al. ∙

research

∙ 12/15/2017

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

We propose WSMC, a workload-specific memory capacity configuration appro...

Yi Liang, et al. ∙

research

∙ 12/21/2016

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 ...

Michael Kolonko, et al. ∙

research

∙ 09/05/2017

Truly Concurrent Process Algebra with Timing

We extend truly concurrent process algebra APTC with timing related prop...

Yong Wang, et al. ∙

research

∙ 03/03/2018

Communicating Concurrent Processes

Process algebra CSP only permits a process to engage in one event on a m...

Yong Wang, et al. ∙

research

∙ 05/09/2018

A Unified Framework of Deep Neural Networks by Capsules

With the growth of deep learning, how to describe deep neural networks u...

Yujian Li, et al. ∙

research

∙ 05/16/2018

Image Classification Based on Quantum KNN Algorithm

Image classification is an important task in the field of machine learni...

Yijie Dang, et al. ∙

research

∙ 05/20/2018

Selfishness need not be bad: a general proof

This article studies the user behavior in non-atomic congestion games. W...

Zijun Wu, et al. ∙

research

∙ 07/15/2018

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...

Ziyan Gao, et al. ∙

research

∙ 10/31/2018

Structured Parallel Programming Language Based on True Concurrency

Based on our previous work on algebraic laws for true concurrency, we de...

Yong Wang, et al. ∙

research

∙ 11/02/2018

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...

Yong Wang, et al. ∙

research

∙ 11/08/2018

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

We refine the relation of Web service orchestration, abstract process, W...

Yong Wang, et al. ∙

research

∙ 11/17/2018

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

Blind image deconvolution is the problem of recovering the latent image ...

Jing Yu, et al. ∙

research

∙ 11/22/2018

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

The robust principle analysis (RPCA), which aims to estimate underlying ...

Huiwen Donga, et al. ∙

research

∙ 11/02/2018

Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing

Based on our previous work on truly concurrent process algebra, we use i...

Yong Wang, et al. ∙

research

∙ 01/03/2019

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

Two important characteristics of multi-objective evolutionary algorithms...

Xinwu Yang, et al. ∙

research

∙ 03/07/2019

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

Recently, the growth of deep learning has produced a large number of dee...

Yujian Li, et al. ∙

research

∙ 03/22/2019

Robust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications

In this paper, we focus on the phenomenon of beam misalignment in Millim...

Chandan Pradhan, et al. ∙

research

∙ 03/22/2019

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...

Chandan Pradhan, et al. ∙

research

∙ 04/18/2019

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...

Ke Gu, et al. ∙

research

∙ 05/17/2019

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

The engineering vision of relying on the "smart sky" for supporting air ...

Jiankang Zhang, et al. ∙

research

∙ 06/08/2019

Algebra of Concurrent Games

We introduce parallelism into the basic algebra of games to model concur...

Yong Wang, et al. ∙

research

∙ 06/27/2019

Truly Concurrent Bisimilarities are Game Equivalent

We design games for truly concurrent bisimilarities, including strongly ...

Yong Wang, et al. ∙

research

∙ 07/05/2019

Operational Semantics of Games

We introduce operational semantics into games. And based on the operatio...

Yong Wang, et al. ∙

research

∙ 09/03/2019

Finding Salient Context based on Semantic Matching for Relevance Ranking

In this paper, we propose a salient-context based semantic matching meth...

Yuanyuan Qi, et al. ∙

research

∙ 09/06/2019

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

Ultra-reliable and low-latency communications (URLLC) are considered as ...

Zhanwei Hou, et al. ∙

research

∙ 12/12/2019

Improving Interpretability of Word Embeddings by Generating Definition and Usage

Word Embeddings, which encode semantic and syntactic features, have achi...

Haitong Zhang, et al. ∙

research

∙ 12/17/2019

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...

Tian Liu, et al. ∙

research

∙ 12/29/2019

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...

Yan Wang, et al. ∙

research

∙ 01/01/2020

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...

Rui Tuo, et al. ∙

research

∙ 01/10/2020

Probabilistic K-means Clustering via Nonlinear Programming

K-means is a classical clustering algorithm with wide applications. Howe...

Yujian Li, et al. ∙

research

∙ 01/22/2020

Robust block preconditioners for poroelasticity

In this paper we study the linear systems arising from discretized poroe...

Shuangshuang Chen, et al. ∙

research

∙ 02/12/2020

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...

Bo Liu, et al. ∙

research

∙ 03/07/2020

Geometry and Topology of Deep Neural Networks' Decision Boundaries

Geometry and topology of decision regions are closely related with class...

Bo Liu, et al. ∙

Beijing University of Technology

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