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09/30/2019
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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09/27/2019
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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09/23/2019
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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09/14/2019
FfDL : A Flexible Multi-tenant Deep Learning Platform
Deep learning (DL) is becoming increasingly popular in several applicati...
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08/09/2019
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Dynamic ensembling of classifiers is an effective approach in processing...
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08/05/2019
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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07/12/2019
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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07/10/2019
Multi-layer Attention Mechanism for Speech Keyword Recognition
As an important part of speech recognition technology, automatic speech ...
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06/19/2019
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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04/08/2019
Kervolutional Neural Networks
Convolutional neural networks (CNNs) have enabled the state-of-the-art p...
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03/05/2019
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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02/20/2019
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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02/18/2019
Evolutionary Multitasking for Semantic Web Service Composition
Web services are basic functions of a software system to support the con...
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02/14/2019
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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01/15/2019
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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12/29/2018
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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05/17/2018
Matching Consecutive Subpatterns Over Streaming Time Series
Pattern matching of streaming time series with lower latency under limit...
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03/28/2018
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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03/01/2018
Vector Quantization as Sparse Least Square Optimization
Vector quantization aims to form new vectors/matrices with shared values...
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02/28/2018
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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02/25/2018
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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02/20/2018
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
Robust velocity and position estimation is crucial for autonomous robot ...
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01/09/2018
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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10/27/2017
Fine-grained Pattern Matching Over Streaming Time Series
Pattern matching of streaming time series with lower latency under limit...
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10/16/2017
Non-Iterative Localization and Fast Mapping
This paper presents a non-iterative method for dense mapping using inert...
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10/02/2017
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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09/12/2017
Kernel Cross-Correlator
Cross-correlator plays a significant role in many visual perception task...
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09/12/2017
Interpreting Shared Deep Learning Models via Explicable Boundary Trees
Despite outperforming the human in many tasks, deep neural network model...
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08/08/2017
A discriminative view of MRF pre-processing algorithms
While Markov Random Fields (MRFs) are widely used in computer vision, th...
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04/19/2016