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Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger
Limited data access is a substantial barrier to data-driven networking r...
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A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms
To solve the problem of inaccurate recognition of types of communication...
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RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
Semantic segmentation of surgical instruments plays a crucial role in ro...
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FfDL : A Flexible Multi-tenant Deep Learning Platform
Deep learning (DL) is becoming increasingly popular in several applicati...
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Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Dynamic ensembling of classifiers is an effective approach in processing...
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Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost
The paper presents Imbalance-XGBoost, a Python package that combines the...
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Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers
In this paper, we build a speech privacy attack that exploits speech rev...
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Multi-layer Attention Mechanism for Speech Keyword Recognition
As an important part of speech recognition technology, automatic speech ...
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Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition
Comprehensive quality-aware automated semantic web service composition i...
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Kervolutional Neural Networks
Convolutional neural networks (CNNs) have enabled the state-of-the-art p...
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The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques
Graph deep learning models, such as graph convolutional networks (GCN) a...
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Touchdown on the Cloud: The impact of the Super Bowl on Cloud
The Super Bowl is the world's biggest televised sporting event. We exami...
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Evolutionary Multitasking for Semantic Web Service Composition
Web services are basic functions of a software system to support the con...
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WaveletFCNN: A Deep Time Series Classification Model for Wind Turbine Blade Icing Detection
Wind power, as an alternative to burning fossil fuels, is plentiful and ...
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DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
A key technical challenge in performing 6D object pose estimation from R...
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Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition
The rigid registration of two 3D point sets is a fundamental problem in ...
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Matching Consecutive Subpatterns Over Streaming Time Series
Pattern matching of streaming time series with lower latency under limit...
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Repeated out of Sample Fusion in the Estimation of Small Tail Probabilities
In pursuit of a small tail probability p, it is shown how to construct b...
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Vector Quantization as Sparse Least Square Optimization
Vector quantization aims to form new vectors/matrices with shared values...
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Graph Optimization Approach to Localization with IMU and Ultra-Wideband Measurements
An ultra-wideband (UWB) aided localization system is presented. Existing...
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Robust Target-relative Localization with Ultra-Wideband Ranging and Communication
In this paper we propose a method to achieve relative positioning and tr...
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Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
Robust velocity and position estimation is crucial for autonomous robot ...
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Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data
In biostatistics, propensity score is a common approach to analyze the i...
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Fine-grained Pattern Matching Over Streaming Time Series
Pattern matching of streaming time series with lower latency under limit...
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Non-Iterative Localization and Fast Mapping
This paper presents a non-iterative method for dense mapping using inert...
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KV-match: An Efficient Subsequence Matching Approach for Large Scale Time Series
Time series data have exploded due to the popularity of new applications...
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Kernel Cross-Correlator
Cross-correlator plays a significant role in many visual perception task...
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Interpreting Shared Deep Learning Models via Explicable Boundary Trees
Despite outperforming the human in many tasks, deep neural network model...
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A discriminative view of MRF pre-processing algorithms
While Markov Random Fields (MRFs) are widely used in computer vision, th...
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Improving Raw Image Storage Efficiency by Exploiting Similarity
To improve the temporal and spatial storage efficiency, researchers have...
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