
AutoML: A Survey of the StateoftheArt
Deep learning has penetrated all aspects of our lives and brought us gre...
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ComputerAided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
Skin disease is one of the most common types of human diseases, which ma...
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A level set representation method for Ndimensional convex shape and applications
In this work, we present a new efficient method for convex shape represe...
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Regularized Finegrained Meta Face Antispoofing
Face presentation attacks have become an increasingly critical concern w...
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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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Deep Plugandplay Prior for Lowrank Tensor Completion
Tensor image data sets such as color images and multispectral images are...
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Robust Tensor Completion Using Transformed Tensor SVD
In this paper, we study robust tensor completion by using transformed te...
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Openset Adversarial Defense
Openset recognition and adversarial defense study two key aspects of de...
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IRS: A Large Synthetic Indoor Robotics Stereo Dataset for Disparity and Surface Normal Estimation
Indoor robotics localization, navigation and interaction heavily rely on...
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Light Field Spatial Superresolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
Light field (LF) images acquired by handheld devices usually suffer fro...
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Robust data assimilation using L_1 and Huber norms
Data assimilation is the process to fuse information from priors, observ...
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Dynamic Label Graph Matching for Unsupervised Video ReIdentification
Label estimation is an important component in an unsupervised person re...
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Towards wellspecified semisupervised modelbased classifiers via structural adaptation
Semisupervised learning plays an important role in largescale machine ...
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A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews
Recommender systems (RSs) provide an effective way of alleviating the in...
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Face Image Reconstruction from Deep Templates
Stateoftheart face recognition systems are based on deep (convolution...
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Action2Activity: Recognizing Complex Activities from Sensor Data
As compared to simple actions, activities are much more complex, but sem...
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SemiOrthogonal Multilinear PCA with Relaxed Start
Principal component analysis (PCA) is an unsupervised method for learnin...
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Outlier Detection In Largescale Traffic Data By Naïve Bayes Method and Gaussian Mixture Model Method
It is meaningful to detect outliers in traffic data for traffic manageme...
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Deformable Distributed Multiple Detector Fusion for MultiPerson Tracking
This paper addresses fully automated multiperson tracking in complex en...
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Bridging Information Criteria and Parameter Shrinkage for Model Selection
Model selection based on classical information criteria, such as BIC, is...
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Multiplex Structures: Patterns of Complexity in RealWorld Networks
Complex network theory aims to model and analyze complex systems that co...
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A Threestage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) m...
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Online Vehicle Detection For Estimating Traffic Status
We propose a traffic congestion estimation system based on unsupervised ...
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Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Deep learning frameworks have been widely deployed on GPU servers for de...
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CNN based music emotion classification
Music emotion recognition (MER) is usually regarded as a multilabel tag...
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GPGPU Performance Estimation with Core and Memory Frequency Scaling
Graphics Processing Units (GPUs) support dynamic voltage and frequency s...
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TFisher Tests: Optimal and Adaptive Thresholding for Combining pValues
For testing a group of hypotheses, tremendous pvalue combination method...
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Testing normality using the summary statistics with application to metaanalysis
As the most important tool to provide highlevel evidencebased medicine...
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3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
3D point cloud  a new signal representation of volumetric objects  is ...
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MTFH: A Matrix TriFactorization Hashing Framework for Efficient CrossModal Retrieval
Hashing has recently sparked a great revolution in crossmodal retrieval...
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Modeling and Evaluation of Synchronous Stochastic Gradient Descent in Distributed Deep Learning on Multiple GPUs
With huge amounts of training data, deep learning has made great breakth...
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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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Geometric Active Learning via Enclosing Ball Boundary
Active Learning (AL) requires learners to retrain the classifier with th...
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Highly Scalable Deep Learning Training System with MixedPrecision: Training ImageNet in Four Minutes
Synchronized stochastic gradient descent (SGD) optimizers with data para...
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A Cooperative Group Optimization System
A cooperative group optimization (CGO) system is presented to implement ...
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PPDBLP: Modeling and Generating Attributed PublicPrivate Networks with DBLP
In many online social networks (e.g., Facebook, Google+, Twitter, and In...
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MGWFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms
Distributed synchronous stochastic gradient descent has been widely used...
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A Distributed Synchronous SGD Algorithm with Global Topk Sparsification for Low Bandwidth Networks
Distributed synchronous stochastic gradient descent (SSGD) with data pa...
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Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem
Recent studies have shown that imbalance ratio is not the only cause of ...
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A Fast Algorithm for Cosine Transform Based Tensor Singular Value Decomposition
Recently, there has been a lot of research into tensor singular value de...
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BOLTSSI: A Statistical Approach to Screening Interaction Effects for UltraHigh Dimensional Data
Detecting interaction effects is a crucial step in various applications....
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Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools
Mining pools, the main components of the Bitcoin network, dominate the c...
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Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
This paper studies the unsupervised embedding learning problem, which re...
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Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning
In this paper we study the stability and its tradeoff with optimization...
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Authenticated KeyValue Stores with Hardware Enclaves
Authenticated data storage on an untrusted platform is an important comp...
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A Survey of Community Search Over Big Graphs
With the rapid development of information technologies, various big grap...
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Tucker Decomposition Network: Expressive Power and Comparison
Deep neural networks have achieved a great success in solving many machi...
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CASS: Cross Adversarial Source Separation via Autoencoder
This paper introduces a cross adversarial source separation (CASS) frame...
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The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study
Over the past years, great progress has been made in improving the compu...
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Fast Algorithm for KTruss Discovery on PublicPrivate Graphs
In publicprivate graphs, users share one public graph and have their ow...
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Hong Kong Baptist University
18194 Hong Kong Baptist University is a publicly funded tertiary liberal arts institution with a Christian education heritage.