
Nonlocal Patches based Gaussian Mixture Model for Image Inpainting
We consider the inpainting problem for noisy images. It is very challeng...
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Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning
Image segmentation with a volume constraint is an important prior for ma...
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Convex Shape Prior for Deep Neural Convolution Network based Eye Fundus Images Segmentation
Convex Shapes (CS) are common priors for optic disc and cup segmentation...
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Pulsar Candidate Identification with Artificial Intelligence Techniques
Discovering pulsars is a significant and meaningful research topic in th...
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A Geometric View of Optimal Transportation and Generative Model
In this work, we show the intrinsic relations between optimal transporta...
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3DCNNDQNRNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Largescale 3D Point Clouds
Semantic parsing of largescale 3D point clouds is an important research...
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Understanding and Eliminating the Largekernel Effect in Blind Deconvolution
Blind deconvolution consists of recovering a clear version of an observe...
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Multilayer Perceptron Algebra
Artificial Neural Networks(ANN) has been phenomenally successful on vari...
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Joint Hand Detection and Rotation Estimation by Using CNN
Hand detection is essential for many hand related tasks, e.g. parsing ha...
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3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach
We investigate the problem of estimating the 3D shape of an object, give...
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Allometric Scaling in Scientific Fields
Allometric scaling can reflect underlying mechanisms, dynamics and struc...
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A DistributionFree Test of Independence and Its Application to Variable Selection
Motivated by the importance of measuring the association between the res...
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Complex Network Classification with Convolutional Neural Network
Classifying large scale networks into several categories and distinguish...
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Neighborhood Contingency Logic: A New Perspective
In this paper, we propose a new neighborhood semantics for contingency l...
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Bimodal logics with contingency and accident
Contingency and accident are two important notions in philosophy and phi...
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A sequence of neighborhood contingency logics
This note proposes various axiomatizations of contingency logic under ne...
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A Concatenated Residual Network for Image Deblurring
Deep convolutional neural network (CNN)based restoration methods have r...
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Analogical Reasoning on Chinese Morphological and Semantic Relations
Analogical reasoning is effective in capturing linguistic regularities. ...
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Variational based Mixed Noise Removal with CNN Deep Learning Regularization
In this paper, the traditional model based variational method and learni...
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Convexity Shape Prior for Level Set based Image Segmentation Method
We propose a geometric convexity shape prior preservation method for var...
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Normalized Cut with Adaptive Similarity and Spatial Regularization
In this paper, we propose a normalized cut segmentation algorithm with s...
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Estimation of marginal model with subgroup auxiliary information
Marginal model is a popular instrument for studying longitudinal data an...
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3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks
Standard 3D convolution operations require much larger amounts of memory...
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The Normal Map Based on AreaPreserving Parameterization
In this paper, we present an approach to enhance and improve the current...
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From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Dropout is used to avoid overfitting by randomly dropping units from the...
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Increasing trend of scientists to switch between topics
We analyze the publication records of individual scientists, aiming to q...
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Predictability of diffusionbased recommender systems
The recommendation methods based on network diffusion have been shown to...
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Model Comparison of Dark Energy models Using Deep Network
This work uses the combination of the variational autoencoder and the g...
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Gumbelsoftmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Many problems in real life can be converted to combinatorial optimizatio...
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A BrainInspired Compact Cognitive Mapping System
As the robot explores the environment, the map grows over time in the si...
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Learning Sparse Spatial Codes for Cognitive Mapping Inspired by EntorhinalHippocampal Neurocircuit
The entorhinalhippocampal circuit plays a critical role in higher brain...
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Unsupervised Fewshot Learning via Selfsupervised Training
Learning from limited exemplars (fewshot learning) is a fundamental, un...
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HoppingProof and FeeFree Pooled Mining in Blockchain
The poolhopping attack casts down the expected profits of both the mini...
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An Uncertainty and CollusionProof Voting Consensus Mechanism in Blockchain
Though votingbased consensus algorithms in Blockchain outperform proof...
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Proof of Federated Learning: A Novel Energyrecycling Consensus Algorithm
Proof of work (PoW), the most popular consensus mechanism for Blockchain...
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Egoistic Incentives Based on ZeroDeterminant Alliances for LargeScale Systems
Social dilemmas exist in various fields and give rise to the socalled f...
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Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network
Network structures in various backgrounds play important roles in social...
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A C^1 PetrovGalerkin method and Gauss collocation method for 1D general elliptic problems and superconvergence
In this paper, we present and study C^1 PetrovGalerkin and Gauss colloc...
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Twodimensional Multifiber Spectrum Image Correction Based on Machine Learning Techniques
Due to limited size and imperfect of the optical components in a spectro...
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StereoNeuroBayesSLAM: A Neurobiologically Inspired Stereo Visual SLAM System Based on Direct Sparse Method
We propose a neurobiologically inspired visual simultaneous localization...
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A Misreport and CollusionProof Crowdsourcing Mechanism without Quality Verification
Quality control plays a critical role in crowdsourcing. The stateofthe...
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Quantum Inspired Word Representation and Computation
Word meaning has different aspects, while the existing word representati...
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Gumbelsoftmaxbased Optimization: A Simple General Framework for Optimization Problems on Graphs
In computer science, there exist a large number of optimization problems...
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Towards Interpretable Deep Learning Models for Knowledge Tracing
As an important technique for modeling the knowledge states of learners,...
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Synergetic Learning Systems: Concept, Architecture, and Algorithms
Drawing on the idea that brain development is a Darwinian process of “ev...
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Numerical Approximations and Error Analysis of the CahnHilliard Equation with Dynamic Boundary Conditions
We consider the numerical approximations of the CahnHilliard equation w...
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Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformization
By attaching auxiliary event times to the chronologically ordered observ...
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Numerical approximations and error analysis of the CahnHilliard equation with reaction rate dependent dynamic boundary conditions
We consider numerical approximations and error analysis for the CahnHil...
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DMLGANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
With a small number of labeled samples for training, it can save conside...
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Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Distant supervision has been a widely used method for neural relation ex...
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Beijing Normal University
Beijing Normal University, colloquially known as 北师大 or Beishida, is a public research university located in Beijing, China, with a strong emphasis on basic disciplines of the humanities and sciences.