
Performance assessment of the deep learning technologies in grading glaucoma severity
Objective: To validate and compare the performance of eight available de...
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Aerial Imagery for Roof Segmentation: A LargeScale Dataset towards Automatic Mapping of Buildings
Automatic mapping of buildings from remote sensing imagery is currently ...
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A Comparative Review of Recent Kinectbased Action Recognition Algorithms
Videobased human action recognition is currently one of the most active...
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Adversarial Camera Alignment Network for Unsupervised Crosscamera Person Reidentification
In person reidentification (ReID), supervised methods usually need a l...
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Interactive Medical Image Segmentation via PointBased Interaction and Sequential Patch Learning
Due to low tissue contrast, irregular object appearance, and unpredictab...
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Tracking system of Mine Patrol Robot for Low Illumination Environment
Computer vision has received a significant attention in recent years, wh...
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Loss Switching Fusion with Similarity Search for Video Classification
From video streaming to security and surveillance applications, video da...
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NPSA: Nonorthogonal Principal Skewness Analysis
Principal skewness analysis (PSA) has been introduced for feature extrac...
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When Traffic Flow Prediction Meets Wireless Big Data Analytics
Traffic flow prediction is an important research issue for solving the t...
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DeepKSPD: Learning Kernelmatrixbased SPD Representation for Finegrained Image Recognition
Being symmetric positivedefinite (SPD), covariance matrix has tradition...
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Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDGPET imaging
Fluorodeoxyglucose positron emission tomography (FDGPET) imaging based ...
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Unsupervised Generative Modeling Using Matrix Product States
Generative modeling, which learns joint probability distribution from tr...
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Training Triplet Networks with GAN
Triplet networks are widely used models that are characterized by good p...
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Can Boltzmann Machines Discover Cluster Updates ?
Boltzmann machines are physics informed generative models with wide appl...
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Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Traditionally, multilayer neural networks use dot product between the o...
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On the Equivalence of Restricted Boltzmann Machines and Tensor Network States
Restricted Boltzmann machine (RBM) is one of the fundamental building bl...
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Accelerate Monte Carlo Simulations with Restricted Boltzmann Machines
Despite their exceptional flexibility and popularity, the Monte Carlo me...
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Xray Astronomical Point Sources Recognition Using Granular Binarytree SVM
The study on point sources in astronomical images is of special importan...
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Discovering Phase Transitions with Unsupervised Learning
Unsupervised learning is a discipline of machine learning which aims at ...
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Exploiting Structure Sparsity for Covariancebased Visual Representation
The past few years have witnessed increasing research interest on covari...
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OPML: A OnePass ClosedForm Solution for Online Metric Learning
To achieve a low computational cost when performing online metric learni...
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LiDAR Ground Filtering Algorithm for Urban Areas Using Scan Line Based Segmentation
This paper addresses the task of separating ground points from airborne ...
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Compositional Model based Fisher Vector Coding for Image Classification
Deriving from the gradient vector of a generative model of local feature...
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Learning Discriminative Bayesian Networks from Highdimensional Continuous Neuroimaging Data
Due to its causal semantics, Bayesian networks (BN) have been widely emp...
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Boostinglike Deep Learning For Pedestrian Detection
This paper proposes boostinglike deep learning (BDL) framework for pede...
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HEp2 Cell Image Classification with Deep Convolutional Neural Networks
Efficient Human Epithelial2 (HEp2) cell image classification can facil...
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Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
Deriving from the gradient vector of a generative model of local feature...
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Learning Discriminative Stein Kernel for SPD Matrices and Its Applications
Stein kernel has recently shown promising performance on classifying ima...
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Learning Valuation Functions
In this paper we study the approximate learnability of valuations common...
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A Generalized Probabilistic Framework for Compact Codebook Creation
Compact and discriminative visual codebooks are preferred in many visual...
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Positive Semidefinite Metric Learning Using Boostinglike Algorithms
The success of many machine learning and pattern recognition methods rel...
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Feature Selection via Sparse Approximation for Face Recognition
Inspired by biological vision systems, the overcomplete local features ...
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Feature selection via simultaneous sparse approximation for person specific face verification
There is an increasing use of some imperceivable and redundant local fea...
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Scalable LargeMargin Mahalanobis Distance Metric Learning
For many machine learning algorithms such as kNearest Neighbor (kNN) c...
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Positive Semidefinite Metric Learning with Boosting
The learning of appropriate distance metrics is a critical problem in im...
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A Cylindrical Basis Function for Solving Partial Differential Equations on Manifolds
Numerical solutions of partial differential equations (PDEs) on manifold...
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Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems
The increasing popularity of server usage has brought a plenty of anomal...
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Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines
We compare and contrast the statistical physics and quantum physics insp...
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Ensemble Onedimensional Convolution Neural Networks for Skeletonbased Action Recognition
In this paper, we proposed a effective but extensible residual onedimen...
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HybridTune: Spatiotemporal Data and Model Driven Performance Diagnosis for Big Data Systems
With tremendous growing interests in Big Data systems, analyzing and fac...
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Neural Network Renormalization Group
We present a variational renormalization group approach using deep gener...
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AliMe Assist: An Intelligent Assistant for Creating an Innovative Ecommerce Experience
We present AliMe Assist, an intelligent assistant designed for creating ...
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10millisecond Computing
Despite computation becomes much complex on data with an unprecedented s...
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Understanding Membership Inferences on WellGeneralized Learning Models
Membership Inference Attack (MIA) determines the presence of a record in...
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MaskReID: A Mask Based Deep Ranking Neural Network for Person Reidentification
In this paper, a novel mask based deep ranking neural network with skipp...
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Differentiable Learning of Quantum Circuit Born Machine
Quantum circuit Born machines are generative models which represent the ...
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BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floatingpoint Operations per Second), a...
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Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
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Anchorbased Nearest Class Mean Loss for Convolutional Neural Networks
Discriminative features are critical for machine learning applications. ...
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Online Deep Metric Learning
Metric learning learns a metric function from training data to calculate...
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Lei Wang
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Assistant Professor, Computational Quantum Physicist at Institute of Physics, Chinese Academy of Sciences