
Line Flow based SLAM
We propose a method of visual SLAM by predicting and updating line flows...
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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...
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Stochastic Runtime Analysis of a Cross Entropy Algorithm for Traveling Salesman Problems
This article analyzes the stochastic runtime of a CrossEntropy Algorith...
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Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
Dimensionality reduction for highorder tensors is a challenging problem...
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Localized LRR on Grassmann Manifolds: An Extrinsic View
Subspace data representation has recently become a common practice in ma...
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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 ...
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Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in MultiCamera Video Surveillance
In multicamera video surveillance, it is challenging to represent video...
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Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds
As a significant subspace clustering method, low rank representation (LR...
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Kernelized LRR on Grassmann Manifolds for Subspace Clustering
Low rank representation (LRR) has recently attracted great interest due ...
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Mixture of BilateralProjection Twodimensional Probabilistic Principal Component Analysis
The probabilistic principal component analysis (PPCA) is built upon a gl...
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Matrix Variate RBM and Its Applications
Restricted Boltzmann Machine (RBM) is an importan t generative model mo...
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Fast Optimization Algorithm on Riemannian Manifolds and Its Application in LowRank Representation
The paper addresses the problem of optimizing a class of composite funct...
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Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Many computer vision algorithms employ subspace models to represent data...
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Kernelized Low Rank Representation on Grassmann Manifolds
Low rank representation (LRR) has recently attracted great interest due ...
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Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Tensors or multiarray data are generalizations of matrices. Tensor clust...
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Connectivitypreserving Geometry Images
We propose connectivitypreserving geometry images (CGIMs), which map a ...
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A WorkloadSpecific Memory Capacity Configuration Approach for InMemory Data Analytic Platforms
We propose WSMC, a workloadspecific memory capacity configuration appro...
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Improving the Quality of Random Number Generators by Applying a Simple Ratio Transformation
It is wellknown that the quality of random number generators can often ...
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Truly Concurrent Process Algebra with Timing
We extend truly concurrent process algebra APTC with timing related prop...
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Communicating Concurrent Processes
Process algebra CSP only permits a process to engage in one event on a m...
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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...
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Image Classification Based on Quantum KNN Algorithm
Image classification is an important task in the field of machine learni...
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Selfishness need not be bad: a general proof
This article studies the user behavior in nonatomic congestion games. W...
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Multiobjective Noncooperative Game Model for Costbased Task Scheduling in Computational Grid
Task scheduling is an important and complex problem in computational gri...
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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...
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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...
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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...
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EdgeBased Blur Kernel Estimation Using Sparse Representation and SelfSimilarity
Blind image deconvolution is the problem of recovering the latent image ...
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Dual Reweighted LpNorm Minimization for Saltandpepper Noise Removal
The robust principle analysis (RPCA), which aims to estimate underlying ...
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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...
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An Improved multiobjective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy
Two important characteristics of multiobjective evolutionary algorithms...
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A Capsuleunified Framework of Deep Neural Networks for Graphical Programming
Recently, the growth of deep learning has produced a large number of dee...
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Robust Hybrid Precoding for Beam Misalignment in MillimeterWave Communications
In this paper, we focus on the phenomenon of beam misalignment in Millim...
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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...
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Learning a NoReference Quality Assessment Model of Enhanced Images With Big Data
In this paper we investigate into the problem of image quality assessmen...
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Aeronautical Ad Hoc Networking for the InternetAboveTheClouds
The engineering vision of relying on the "smart sky" for supporting air ...
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Algebra of Concurrent Games
We introduce parallelism into the basic algebra of games to model concur...
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Truly Concurrent Bisimilarities are Game Equivalent
We design games for truly concurrent bisimilarities, including strongly ...
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Operational Semantics of Games
We introduce operational semantics into games. And based on the operatio...
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Finding Salient Context based on Semantic Matching for Relevance Ranking
In this paper, we propose a salientcontext based semantic matching meth...
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Prediction and Communication Codesign for UltraReliable and LowLatency Communications
Ultrareliable and lowlatency communications (URLLC) are considered as ...
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Improving Interpretability of Word Embeddings by Generating Definition and Usage
Word Embeddings, which encode semantic and syntactic features, have achi...
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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...
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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...
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On the Improved Rates of Convergence for Matérntype Kernel Ridge Regression, with Application to Calibration of Computer Models
Kernel ridge regression is an important nonparametric method for estimat...
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Probabilistic Kmeans Clustering via Nonlinear Programming
Kmeans is a classical clustering algorithm with wide applications. Howe...
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Robust block preconditioners for poroelasticity
In this paper we study the linear systems arising from discretized poroe...
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Understanding Global Loss Landscape of Onehiddenlayer ReLU Neural Networks
For onehiddenlayer ReLU networks, we show that all local minima are gl...
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Geometry and Topology of Deep Neural Networks' Decision Boundaries
Geometry and topology of decision regions are closely related with class...
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Understanding Global Loss Landscape of Onehiddenlayer ReLU Networks, Part 2: Experiments and Analysis
The existence of local minima for onehiddenlayer ReLU networks has bee...
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Beijing University of Technology
Beijing University of Technology, also called Beijing Polytechnic University or Bei Gong Da, is recognized as one of the Project 211 universities.