
Transfer Adaptation Learning: A Decade Survey
The world we see is everchanging and it always changes with people, thi...
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A Regularization Approach for InstanceBased Superset Label Learning
Different from the traditional supervised learning in which each trainin...
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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
In many practical transfer learning scenarios, the feature distribution ...
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A deep network for sinogram and CT image reconstruction
A CT image can be well reconstructed when the sampling rate of the sinog...
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A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Image denoising is a classical problem in low level computer vision. Mod...
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Monthly electricity consumption forecasting by the fruit fly optimization algorithm enhanced HoltWinters smoothing method
The electricity consumption forecasting is a critical component of the i...
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Dimensionality Reduction of Hyperspectral Imagery Based on Spatialspectral Manifold Learning
The graph embedding (GE) methods have been widely applied for dimensiona...
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Learning OrientationEstimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image
Benefiting from the great success of deep learning in computer vision, C...
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Multifactorial Optimization for Largescale Virtual Machine Placement in Cloud Computing
The placement scheme of virtual machines (VMs) to physical servers (PSs)...
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View Confusion Feature Learning for Person Reidentification
Person reidentification is an important task in video surveillance that...
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FHEDN: A based on context modeling Feature Hierarchy EncoderDecoder Network for face detection
Because of affected by weather conditions, camera pose and range, etc. O...
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CatGAN: Coupled Adversarial Transfer for Domain Generation
This paper introduces a Coupled adversarial transfer GAN (CatGAN), an ef...
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A hybrid evolutionary algorithm with importance sampling for multidimensional optimization
A hybrid evolutionary algorithm with importance sampling method is propo...
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Depth and Reflection Total Variation for Single Image Dehazing
Haze removal has been a very challenging problem due to its illposednes...
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Learning Hypergraphregularized Attribute Predictors
We present a novel attribute learning framework named Hypergraphbased A...
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On The Effect of Hyperedge Weights On Hypergraph Learning
Hypergraph is a powerful representation in several computer vision, mach...
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Sparse Graphbased Transduction for Image Classification
Motivated by the remarkable successes of Graphbased Transduction (GT) a...
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Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition
We present a novel Discriminant Locality Preserving Projections (DLPP) a...
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Shape Primitive Histogram: A Novel LowLevel Face Representation for Face Recognition
We further exploit the representational power of Haar wavelet and presen...
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Face Recognition via GlobalityLocality Preserving Projections
We present an improved Locality Preserving Projections (LPP) method, nam...
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Mahonian STAT on rearrangement class of words
In 2000, Babson and Steingrímsson generalized the notion of permutation ...
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PoTrojan: powerful neurallevel trojan designs in deep learning models
With the popularity of deep learning (DL), artificial intelligence (AI) ...
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Network Phenotyping for Network Traffic Classification and Anomaly Detection
This paper proposes to develop a network phenotyping mechanism based on ...
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EndtoEnd Detection and Reidentification Integrated Net for Person Search
This paper proposes a pedestrian detection and reidentification (reid)...
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Energydelaycost Tradeoff for Task Offloading in Imbalanced Edge Cloud Based Computing
In this paper, the imbalance edge cloud based computing offloading for m...
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Performance Analysis and Optimization of Cooperative FullDuplex D2D Communication Underlaying Cellular Networks
This paper investigates the cooperative fullduplex devicetodevice (D2...
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An efficient quantum circuits optimizing scheme compared with QISKit
Recently, the development of quantum chips has made great progress the...
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CrowdExpress: A Probabilistic Framework for OnTime Crowdsourced Package Deliveries
Speed and cost of logistics are two major concerns to online shoppers, ...
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CognitiveLPWAN: Towards Intelligent Wireless Services in Hybrid Low Power Wide Area Networks
The relentless development of the Internet of Things (IoT) communication...
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qStirling numbers arising from vincular patterns
The distribution of certain Mahonian statistic (called BAST) introduced ...
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Secrecy Outage Analysis for Cooperative NOMA Systems with Relay Selection Scheme
This paper considers the secrecy outage performance of a multiplerelay ...
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PTISABB: A Hybrid Treebased Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems
Asymmetric Distributed Constraint Optimization Problems (ADCOPs) have em...
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From qStirling numbers to the Delta Conjecture: a viewpoint from vincular patterns
The distribution of certain Mahonian statistic (called BAST) introduced ...
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BoostGAN for Occlusive Profile Face Frontalization and Recognition
There are many facts affecting human face recognition, such as pose, occ...
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Optimal Projection Guided Transfer Hashing for Image Retrieval
Recently, learning to hash has been widely studied for image retrieval t...
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AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems
Asymmetric distributed constraint optimization problems (ADCOPs) are an ...
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Quantization Loss ReLearning Method
In order to quantize the gate parameters of the LSTM (Long ShortTerm Me...
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BigData Clustering: KMeans or KIndicators?
The Kmeans algorithm is arguably the most popular data clustering metho...
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A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A BranchandBound Technique
Belief propagation approaches, such as MaxSum and its variants, are a k...
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Numerical simulation of a coupled system of Maxwell equations and a gas dynamic model
It is known that both linear and nonlinear optical phenomena can be prod...
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Multiadversarial FasterRCNN for Unrestricted Object Detection
Conventional object detection methods essentially suppose that the train...
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Generating Reliable Friends via Adversarial Training to Improve Social Recommendation
Most of the recent studies of social recommendation assume that people s...
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When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
Deep Neural Network has proved its potential in various perception tasks...
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HSCAI: A Hybrid DCOP Algorithm via Combining Search with Contextbased Inference
Search and inference are two main strategies for optimally solving Distr...
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A novel treestructured point cloud dataset for skeletonization algorithm evaluation
Curve skeleton extraction from unorganized point cloud is a fundamental ...
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An Efficient and WearLevelingAware FrequentPattern Mining on NonVolatile Memory
Frequentpattern mining is a common approach to reveal the valuable hidd...
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RMBDPOP: Refining MBDPOP by Reducing Redundant Inferences
MBDPOP is an important complete algorithm for solving Distributed Const...
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Chongqing University
Chongqing University is a key national university located in Chongqing, People's Republic of China, and a member of the "Excellence League".