UNC Charlotte

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The University of North Carolina at Charlotte, also known as UNC Charlotte, UNCC, or simply Charlotte, is a public research university in Charlotte, North Carolina.

Visual Explanation for Deep Metric Learning

This work explores the visual explanation for deep metric learning and i...
09/27/2019 ∙ by Sijie Zhu, et al. ∙ 51 ∙ share

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CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction

Pedestrian path prediction is an essential topic in computer vision and ...
05/26/2020 ∙ by Matías Mendieta, et al. ∙ 11 ∙ share

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Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

To leverage deep learning for image aesthetics assessment, one critical ...
04/06/2020 ∙ by Qiuyu Chen, et al. ∙ 3 ∙ share

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Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...
02/04/2016 ∙ by Shu Wang, et al. ∙ 0 ∙ share

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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...
10/19/2017 ∙ by Han Zhang, et al. ∙ 0 ∙ share

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Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering

Visual question answering (VQA) is challenging because it requires a sim...
08/10/2017 ∙ by Zhou Yu, et al. ∙ 0 ∙ share

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Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering

Visual question answering (VQA) is challenging because it requires a sim...
08/04/2017 ∙ by Zhou Yu, et al. ∙ 0 ∙ share

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Lasso estimation for GEFCom2014 probabilistic electric load forecasting

We present a methodology for probabilistic load forecasting that is base...
03/04/2016 ∙ by Florian Ziel, et al. ∙ 0 ∙ share

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Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...
12/09/2015 ∙ by Xiaofan Zhang, et al. ∙ 0 ∙ share

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Nonparametric Detection of Anomalous Data Streams

A nonparametric anomalous hypothesis testing problem is investigated, in...
04/25/2014 ∙ by Shaofeng Zou, et al. ∙ 0 ∙ share

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Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification

We propose a high dimensional classification method that involves nonpar...
12/31/2013 ∙ by Jianqing Fan, et al. ∙ 0 ∙ share

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Wide-Area Image Geolocalization with Aerial Reference Imagery

We propose to use deep convolutional neural networks to address the prob...
10/13/2015 ∙ by Scott Workman, et al. ∙ 0 ∙ share

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Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines

We introduce a formal distinction between contradictions and disagreemen...
08/02/2017 ∙ by Wlodek Zadrozny, et al. ∙ 0 ∙ share

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Learning Concept Embeddings for Efficient Bag-of-Concepts Densification

Explicit concept space models have proven efficacy for text representati...
02/10/2017 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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A Context-aware Attention Network for Interactive Question Answering

Neural network based sequence-to-sequence models in an encoder-decoder f...
12/22/2016 ∙ by Huayu Li, et al. ∙ 0 ∙ share

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We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!

Online content publishers often use catchy headlines for their articles ...
12/05/2016 ∙ by Ankesh Anand, et al. ∙ 0 ∙ share

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Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

We present an ensemble approach for categorizing search query entities i...
04/04/2016 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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Measuring Semantic Relatedness using Mined Semantic Analysis

Mined Semantic Analysis (MSA) is a novel concept space model which emplo...
12/10/2015 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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Watsonsim: Overview of a Question Answering Engine

The objective of the project is to design and run a system similar to Wa...
12/02/2014 ∙ by Sean Gallagher, et al. ∙ 0 ∙ share

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Practical Whole-System Provenance Capture

Data provenance describes how data came to be in its present form. It in...
11/14/2017 ∙ by Thomas Pasquier, et al. ∙ 0 ∙ share

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Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases

Text representation using neural word embeddings has proven efficacy in ...
01/01/2018 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing

We present a system for identifying conceptual shifts between visual cat...
01/02/2018 ∙ by Pegah Karimi, et al. ∙ 0 ∙ share

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Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale

Online job boards are one of the central components of modern recruitmen...
01/01/2018 ∙ by Walid Shalaby, et al. ∙ 0 ∙ share

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A Sheaf Model of Contradictions and Disagreements. Preliminary Report and Discussion

We introduce a new formal model -- based on the mathematical construct o...
01/27/2018 ∙ by Wlodek Zadrozny, et al. ∙ 0 ∙ share

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One-Class Adversarial Nets for Fraud Detection

Many online applications, such as online social networks or knowledge ba...
03/05/2018 ∙ by Panpan Zheng, et al. ∙ 0 ∙ share

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Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond

Topic models are a family of statistical-based algorithms to summarize, ...
03/29/2018 ∙ by Ryan Wesslen, et al. ∙ 0 ∙ share

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MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation

Recently, generative adversarial networks (GANs) have shown promising pe...
05/07/2018 ∙ by David Keetae Park, et al. ∙ 0 ∙ share

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DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster

Virtualization is a promising technology that has facilitated cloud comp...
05/22/2018 ∙ by Ying Mao, et al. ∙ 0 ∙ share

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Emotion Detection in Text: a Review

In recent years, emotion detection in text has become more popular due t...
06/02/2018 ∙ by Armin Seyeditabari, et al. ∙ 0 ∙ share

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Rejection Sampling for Tempered Levy Processes

We extend the idea of tempering stable Levy processes to tempering more ...
06/02/2018 ∙ by Michael Grabchak, et al. ∙ 0 ∙ share

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Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics

Cognitive biases have been shown to lead to faulty decision-making. Rece...
06/07/2018 ∙ by Ryan Wesslen, et al. ∙ 0 ∙ share

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CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...
06/28/2018 ∙ by Yu Tian, et al. ∙ 0 ∙ share

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Vulnerable to Misinformation? Verifi!

We present Verifi2, a visual analytic system to support the investigatio...
07/25/2018 ∙ by Alireza Karduni, et al. ∙ 0 ∙ share

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Evaluating Creativity in Computational Co-Creative Systems

This paper provides a framework for evaluating creativity in co-creative...
07/25/2018 ∙ by Pegah Karimi, et al. ∙ 0 ∙ share

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A Short Survey of Topological Data Analysis in Time Series and Systems Analysis

Topological Data Analysis (TDA) is the collection of mathematical tools ...
09/27/2018 ∙ by Shafie Gholizadeh, et al. ∙ 0 ∙ share

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GI-OHMS: Graphical Inference to Detect Overlapping Communities

Discovery of communities in complex networks is a topic of considerable ...
10/03/2018 ∙ by Nasheen Nur, et al. ∙ 0 ∙ share

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NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification

This paper introduces a fast and efficient network architecture, NeXtVLA...
11/12/2018 ∙ by Rongcheng Lin, et al. ∙ 0 ∙ share

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An Exploratory Study of (#)Exercise in the Twittersphere

Social media analytics allows us to extract, analyze, and establish sema...
12/08/2018 ∙ by George Shaw, et al. ∙ 0 ∙ share

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Graph Embedding for Citation Recommendation

As science advances, the academic community has published millions of re...
12/06/2018 ∙ by Haofeng Jia, et al. ∙ 0 ∙ share

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IoTC2: A Formal Method Approach for Detecting Conflicts in Large Scale IoT Systems

Internet of Things (IoT) has become a common paradigm for different doma...
12/10/2018 ∙ by Abdullah Al Farooq, et al. ∙ 0 ∙ share

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Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems

As science advances, the academic community has published millions of re...
12/29/2018 ∙ by Haofeng Jia, et al. ∙ 0 ∙ share

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Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach

Currently, explosive increase of smartphones with powerful built-in sens...
12/08/2018 ∙ by Yufeng Zhan, et al. ∙ 0 ∙ share

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Gibbs posterior convergence and the thermodynamic formalism

In this paper we consider a Bayesian framework for making inferences abo...
01/24/2019 ∙ by Kevin McGoff, et al. ∙ 0 ∙ share

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Deep CSI Learning for Gait Biometric Sensing and Recognition

Gait is a person's natural walking style and a complex biological proces...
02/06/2019 ∙ by Kalvik Jakkala, et al. ∙ 0 ∙ share

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Physical Layer Identification based on Spatial-temporal Beam Features for Millimeter Wave Wireless Networks

With millimeter wave (mmWave) wireless communication envisioned to be th...
02/10/2019 ∙ by Sarankumar Balakrishnan, et al. ∙ 0 ∙ share

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A Comprehensive Survey of Interface Protocols for Software Defined Networks

Software Defined Networks has seen tremendous growth and deployment in d...
02/21/2019 ∙ by Zohaib Latif, et al. ∙ 0 ∙ share

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IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things

Internet of Things (IoT) and Network Softwarization are fast becoming co...
02/28/2019 ∙ by Iqbal Alam, et al. ∙ 0 ∙ share

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Seniors' Media Preference for Receiving Internet Security Information: A Pilot Study

Due to the increasing use of Internet by older adults and their low comp...
03/06/2019 ∙ by Yousra Javed, et al. ∙ 0 ∙ share

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Visual Analysis of Photo Policy Misconfigurations Using Treemaps

Online photo privacy is a major concern for social media users. Numerous...
03/06/2019 ∙ by Yousra Javed, et al. ∙ 0 ∙ share

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Learning Competitive and Discriminative Reconstructions for Anomaly Detection

Most of the existing methods for anomaly detection use only positive dat...
03/17/2019 ∙ by Kai Tian, et al. ∙ 0 ∙ share

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