NC State University

∙ Raleigh , United States ∙ 0 followers

North Carolina State University is an educational institution that offers graduate and undergraduate programs. The university offers academic qualifications in engineering, agriculture, life sciences, textiles and design, natural resources, and management through 106 bachelor's degrees, 104 master's degrees, 61 doctoral degrees, and a Doctor of Veterinary Medicine. The University of North Carolina's 17 campuses extend from the state's mountains to the coast. More than 220,000 students are enrolled at 16 universities and the NC School of Science and Mathematics, the country's first public residential high school for gifted students. North Carolina State University is one of the eight universities with a presence at the North Carolina Research Campus, where it operates a research and education organization devoted to food crops. In March 2008, the university also launched the University Sustainability Office in order to address environmental concerns on campus. North Carolina State University was founded on March 7, 1987.

Is AI different for SE?

What AI tools are needed for SE? Ideally, we should have simple rules th...
12/09/2019 ∙ by Amritanshu Agrawal, et al. ∙ 25 ∙ share

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Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks

This paper proposes interpretable image synthesis by learning hierarchic...
09/10/2019 ∙ by Xianglei Xing, et al. ∙ 18 ∙ share

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Pose Guided Fashion Image Synthesis Using Deep Generative Model

Generating a photorealistic image with intended human pose is a promisin...
06/17/2019 ∙ by Wei Sun, et al. ∙ 14 ∙ share

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Street Scene: A new dataset and evaluation protocol for video anomaly detection

Progress in video anomaly detection research is currently slowed by smal...
02/15/2019 ∙ by Bharathkumar Ramachandra, et al. ∙ 12 ∙ share

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Flow Models for Arbitrary Conditional Likelihoods

Understanding the dependencies among features of a dataset is at the cor...
09/13/2019 ∙ by Yang Li, et al. ∙ 11 ∙ share

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Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks

On account of its many successes in inference tasks and denoising applic...
02/18/2020 ∙ by Wen Tang, et al. ∙ 11 ∙ share

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Local Clustering with Mean Teacher for Semi-supervised Learning

The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable...
04/20/2020 ∙ by Zexi Chen, et al. ∙ 11 ∙ share

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Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation

Image synthesis and image-to-image translation are two important generat...
01/18/2019 ∙ by Wei Sun, et al. ∙ 8 ∙ share

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How to "DODGE" Complex Software Analytics?

AI software is still software. Software engineers need better tools to m...
02/05/2019 ∙ by Amritanshu Agrawal, et al. ∙ 8 ∙ share

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ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay

Experience replay is an important technique for addressing sample-ineffi...
09/06/2018 ∙ by Sameera Lanka, et al. ∙ 6 ∙ share

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Interactive Learning of Environment Dynamics for Sequential Tasks

In order for robots and other artificial agents to efficiently learn to ...
07/19/2019 ∙ by Robert Loftin, et al. ∙ 5 ∙ share

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Analysis Dictionary Learning based Classification: Structure for Robustness

A discriminative structured analysis dictionary is proposed for the clas...
07/13/2018 ∙ by Wen Tang, et al. ∙ 4 ∙ share

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Holistically-Attracted Wireframe Parsing

This paper presents a fast and parsimonious parsing method to accurately...
03/03/2020 ∙ by Nan Xue, et al. ∙ 4 ∙ share

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3D Virtual Garment Modeling from RGB Images

We present a novel approach that constructs 3D virtual garment models fr...
07/31/2019 ∙ by Yi Xu, et al. ∙ 3 ∙ share

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Auto-Context R-CNN

Region-based convolutional neural networks (R-CNN) fast_rcnn,faster_rcnn...
07/08/2018 ∙ by Bo Li, et al. ∙ 2 ∙ share

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Better Technical Debt Detection via SURVEYing

Software analytics can be improved by surveying; i.e. rechecking and (po...
05/20/2019 ∙ by Fahmid M. Fahid, et al. ∙ 2 ∙ share

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Adversarial Distillation for Ordered Top-k Attacks

Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, espec...
05/25/2019 ∙ by Zekun Zhang, et al. ∙ 1 ∙ share

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The Secant-Newton Map is Optimal Among Contracting n^th Degree Maps for n^th Root Computation

Consider the problem: given a real number x and an error bound ϵ, find a...
04/09/2014 ∙ by Kayla Bishop, et al. ∙ 0 ∙ share

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Delay Optimal Scheduling for Energy Harvesting Based Communications

Green communication attracts increasing research interest recently. Equi...
08/23/2013 ∙ by Juan Liu, et al. ∙ 0 ∙ share

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Generalized Linear Model Regression under Distance-to-set Penalties

Estimation in generalized linear models (GLM) is complicated by the pres...
11/03/2017 ∙ by Jason Xu, et al. ∙ 0 ∙ share

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AOGNets: Deep AND-OR Grammar Networks for Visual Recognition

This paper presents a method of learning deep AND-OR Grammar (AOG) netwo...
11/15/2017 ∙ by Xilai Li, et al. ∙ 0 ∙ share

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Interpretable R-CNN

This paper presents a method of learning qualitatively interpretable mod...
11/14/2017 ∙ by Tianfu Wu, et al. ∙ 0 ∙ share

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Scene-centric Joint Parsing of Cross-view Videos

Cross-view video understanding is an important yet under-explored area i...
09/16/2017 ∙ by Hang Qi, et al. ∙ 0 ∙ share

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Tosca: Operationalizing Commitments Over Information Protocols

The notion of commitment is widely studied as a high-level abstraction f...
08/10/2017 ∙ by Thomas C. King, et al. ∙ 0 ∙ share

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Variational Gaussian Approximation for Poisson Data

The Poisson model is frequently employed to describe count data, but in ...
09/18/2017 ∙ by Simon Arridge, et al. ∙ 0 ∙ share

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Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach

We propose a geometric model-free causality measurebased on multivariate...
07/24/2016 ∙ by Saba Emrani, et al. ∙ 0 ∙ share

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Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel

Support vector data description (SVDD) is a machine learning technique t...
09/01/2017 ∙ by Hansi Jiang, et al. ∙ 0 ∙ share

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Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program

The 7th Symposium on Educational Advances in Artificial Intelligence (EA...
02/01/2017 ∙ by Eric Eaton, et al. ∙ 0 ∙ share

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Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso

We develop a new method called Discriminated Hub Graphical Lasso (DHGL) ...
05/17/2017 ∙ by Zhen Li, et al. ∙ 0 ∙ share

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Algorithms for Fitting the Constrained Lasso

We compare alternative computing strategies for solving the constrained ...
10/28/2016 ∙ by Brian R. Gaines, et al. ∙ 0 ∙ share

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Going off the Grid: Iterative Model Selection for Biclustered Matrix Completion

We consider the problem of performing matrix completion with side inform...
10/18/2016 ∙ by Eric Chi, et al. ∙ 0 ∙ share

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Why is Differential Evolution Better than Grid Search for Tuning Defect Predictors?

Context: One of the black arts of data mining is learning the magic para...
09/08/2016 ∙ by Wei Fu, et al. ∙ 0 ∙ share

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Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries

We consider N-way data arrays and low-rank tensor factorizations where t...
08/16/2016 ∙ by Bethany Lusch, et al. ∙ 0 ∙ share

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An Attention-Driven Approach of No-Reference Image Quality Assessment

In this paper, we present a novel method of no-reference image quality a...
12/12/2016 ∙ by Diqi Chen, et al. ∙ 0 ∙ share

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Zero-Shot Learning posed as a Missing Data Problem

This paper presents a method of zero-shot learning (ZSL) which poses ZSL...
12/02/2016 ∙ by Bo Zhao, et al. ∙ 0 ∙ share

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Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks

Jointly integrating aspect ratio and context has been extensively studie...
12/02/2016 ∙ by Bo Li, et al. ∙ 0 ∙ share

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Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them

The search for binary sequences with a high figure of merit, known as th...
06/20/2014 ∙ by Borko Bošković, et al. ∙ 0 ∙ share

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Modularity Component Analysis versus Principal Component Analysis

In this paper the exact linear relation between the leading eigenvectors...
10/19/2015 ∙ by Hansi Jiang, et al. ∙ 0 ∙ share

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Classification and regression using an outer approximation projection-gradient method

This paper deals with sparse feature selection and grouping for classifi...
06/06/2015 ∙ by Michel Barlaud, et al. ∙ 0 ∙ share

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Relations Between Adjacency and Modularity Graph Partitioning

In this paper the exact linear relation between the leading eigenvector ...
05/09/2015 ∙ by Hansi Jiang, et al. ∙ 0 ∙ share

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Face Detection with End-to-End Integration of a ConvNet and a 3D Model

This paper presents a method for face detection in the wild, which integ...
06/02/2016 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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Robust Topological Feature Extraction for Mapping of Environments using Bio-Inspired Sensor Networks

In this paper, we exploit minimal sensing information gathered from biol...
10/17/2014 ∙ by Alireza Dirafzoon, et al. ∙ 0 ∙ share

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Multi-Level Anomaly Detection on Time-Varying Graph Data

This work presents a novel modeling and analysis framework for graph seq...
10/16/2014 ∙ by Robert A. Bridges, et al. ∙ 0 ∙ share

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Determining the Number of Clusters via Iterative Consensus Clustering

We use a cluster ensemble to determine the number of clusters, k, in a g...
08/05/2014 ∙ by Shaina Race, et al. ∙ 0 ∙ share

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Convex Biclustering

In the biclustering problem, we seek to simultaneously group observation...
08/05/2014 ∙ by Eric C. Chi, et al. ∙ 0 ∙ share

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Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization

It is well known that good initializations can improve the speed and acc...
07/28/2014 ∙ by Amy N. Langville, et al. ∙ 0 ∙ share

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Sequential Advantage Selection for Optimal Treatment Regimes

Variable selection for optimal treatment regime in a clinical trial or a...
05/20/2014 ∙ by Ailin Fan, et al. ∙ 0 ∙ share

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Bayesian Neural Networks for Genetic Association Studies of Complex Disease

Discovering causal genetic variants from large genetic association studi...
04/15/2014 ∙ by Andrew L. Beam, et al. ∙ 0 ∙ share

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Oracle Inequalities for Convex Loss Functions with Non-Linear Targets

This paper consider penalized empirical loss minimization of convex loss...
12/12/2013 ∙ by Mehmet Caner, et al. ∙ 0 ∙ share

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Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds

Given a real matrix A with n columns, the problem is to approximate the ...
10/05/2013 ∙ by John T. Holodnak, et al. ∙ 0 ∙ share

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NC State University

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