
Adversarial Canonical Correlation Analysis
Canonical Correlation Analysis (CCA) is a statistical technique used to ...
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Is AI different for SE?
What AI tools are needed for SE? Ideally, we should have simple rules th...
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Achieving RealTime Execution of 3D Convolutional Neural Networks on Mobile Devices
Mobile devices are becoming an important carrier for deep learning tasks...
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Towards Interpretable Image Synthesis by Learning Sparsely Connected ANDOR Networks
This paper proposes interpretable image synthesis by learning hierarchic...
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Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promisin...
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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...
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Flow Models for Arbitrary Conditional Likelihoods
Understanding the dependencies among features of a dataset is at the cor...
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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...
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Local Clustering with Mean Teacher for Semisupervised Learning
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable...
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Learning Spatial Pyramid Attentive Pooling in Image Synthesis and ImagetoImage Translation
Image synthesis and imagetoimage translation are two important generat...
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How to "DODGE" Complex Software Analytics?
AI software is still software. Software engineers need better tools to m...
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ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay
Experience replay is an important technique for addressing sampleineffi...
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Interactive Learning of Environment Dynamics for Sequential Tasks
In order for robots and other artificial agents to efficiently learn to ...
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Analysis Dictionary Learning based Classification: Structure for Robustness
A discriminative structured analysis dictionary is proposed for the clas...
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HolisticallyAttracted Wireframe Parsing
This paper presents a fast and parsimonious parsing method to accurately...
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3D Virtual Garment Modeling from RGB Images
We present a novel approach that constructs 3D virtual garment models fr...
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AutoContext RCNN
Regionbased convolutional neural networks (RCNN) fast_rcnn,faster_rcnn...
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Better Technical Debt Detection via SURVEYing
Software analytics can be improved by surveying; i.e. rechecking and (po...
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Adversarial Distillation for Ordered Topk Attacks
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, espec...
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The SecantNewton 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...
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Delay Optimal Scheduling for Energy Harvesting Based Communications
Green communication attracts increasing research interest recently. Equi...
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Generalized Linear Model Regression under Distancetoset Penalties
Estimation in generalized linear models (GLM) is complicated by the pres...
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AOGNets: Deep ANDOR Grammar Networks for Visual Recognition
This paper presents a method of learning deep ANDOR Grammar (AOG) netwo...
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Interpretable RCNN
This paper presents a method of learning qualitatively interpretable mod...
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Scenecentric Joint Parsing of Crossview Videos
Crossview video understanding is an important yet underexplored area i...
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Tosca: Operationalizing Commitments Over Information Protocols
The notion of commitment is widely studied as a highlevel abstraction f...
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Variational Gaussian Approximation for Poisson Data
The Poisson model is frequently employed to describe count data, but in ...
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Effective ConnectivityBased Neural Decoding: A Causal InteractionDriven Approach
We propose a geometric modelfree causality measurebased on multivariate...
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Fast Incremental SVDD Learning Algorithm with the Gaussian Kernel
Support vector data description (SVDD) is a machine learning technique t...
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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...
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Learning Gaussian Graphical Models Using Discriminated Hub Graphical Lasso
We develop a new method called Discriminated Hub Graphical Lasso (DHGL) ...
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Algorithms for Fitting the Constrained Lasso
We compare alternative computing strategies for solving the constrained ...
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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...
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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...
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Shape Constrained Tensor Decompositions using Sparse Representations in OverComplete Libraries
We consider Nway data arrays and lowrank tensor factorizations where t...
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An AttentionDriven Approach of NoReference Image Quality Assessment
In this paper, we present a novel method of noreference image quality a...
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ZeroShot Learning posed as a Missing Data Problem
This paper presents a method of zeroshot learning (ZSL) which poses ZSL...
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Object Detection via Aspect Ratio and Context Aware Regionbased Convolutional Networks
Jointly integrating aspect ratio and context has been extensively studie...
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LowAutocorrelation 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...
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Modularity Component Analysis versus Principal Component Analysis
In this paper the exact linear relation between the leading eigenvectors...
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Classification and regression using an outer approximation projectiongradient method
This paper deals with sparse feature selection and grouping for classifi...
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Relations Between Adjacency and Modularity Graph Partitioning
In this paper the exact linear relation between the leading eigenvector ...
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Face Detection with EndtoEnd Integration of a ConvNet and a 3D Model
This paper presents a method for face detection in the wild, which integ...
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Robust Topological Feature Extraction for Mapping of Environments using BioInspired Sensor Networks
In this paper, we exploit minimal sensing information gathered from biol...
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MultiLevel Anomaly Detection on TimeVarying Graph Data
This work presents a novel modeling and analysis framework for graph seq...
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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...
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Convex Biclustering
In the biclustering problem, we seek to simultaneously group observation...
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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...
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Sequential Advantage Selection for Optimal Treatment Regimes
Variable selection for optimal treatment regime in a clinical trial or a...
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Bayesian Neural Networks for Genetic Association Studies of Complex Disease
Discovering causal genetic variants from large genetic association studi...
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NC State University
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.