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Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
Learning the underlying patterns in the data goes beyond instance-based ...
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An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
The autonomous driving (AD) industry is exploring the use of knowledge g...
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Erase and Restore: Simple, Accurate and Resilient Detection of L_2 Adversarial Examples
By adding carefully crafted perturbations to input images, adversarial e...
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DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
In this paper, we propose a real-time deep-learning approach for determi...
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Effects of Blur and Deblurring to Visual Object Tracking
Intuitively, motion blur may hurt the performance of visual object track...
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Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition
With the development of Augmented Reality (AR), egocentric action recogn...
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A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images
This paper addresses the task of nuclei segmentation in high-resolution ...
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Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
There is a growing desire in the field of reinforcement learning (and ma...
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Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects
Motivated by the important archaeological application of exploring cultu...
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Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter
Social media provide a platform for users to express their opinions and ...
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A Memcomputing Pascaline
The original Pascaline was a mechanical calculator able to sum and subtr...
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An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
Long Short-Term Memory networks trained with gradient descent and back-p...
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Robust Gait Recognition by Integrating Inertial and RGBD Sensors
Gait has been considered as a promising and unique biometric for person ...
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Facility Deployment Decisions through Warp Optimizaton of Regressed Gaussian Processes
A method for quickly determining deployment schedules that meet a given ...
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Identifying Designs from Incomplete, Fragmented Cultural Heritage Objects by Curve-Pattern Matching
Study of cultural-heritage objects with embellished realistic and abstra...
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Functional Inverse Regression in an Enlarged Dimension Reduction Space
We consider an enlarged dimension reduction space in functional inverse ...
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Convex optimization on Banach Spaces
Greedy algorithms which use only function evaluations are applied to con...
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Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces
This paper introduces a new method to solve the cross-domain recognition...
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LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes
One popular approach to interactively segment the foreground object of i...
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Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation
We propose a new learning-based method for estimating 2D human pose from...
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Feature Sampling Strategies for Action Recognition
Although dense local spatial-temporal features with bag-of-features repr...
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Two New Algorithms for Solving Covariance Graphical Lasso Based on Coordinate Descent and ECM
Covariance graphical lasso applies a lasso penalty on the elements of th...
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Learning Nested Agent Models in an Information Economy
We present our approach to the problem of how an agent, within an econom...
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Nonlinear quantile mixed models
In regression applications, the presence of nonlinearity and correlation...
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Mixed-effects models using the normal and the Laplace distributions: A 2 × 2 convolution scheme for applied research
In statistical applications, the normal and the Laplace distributions ar...
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Analogies between the crossing number and the tangle crossing number
Tanglegrams are special graphs that consist of a pair of rooted binary t...
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Cautionary note on "Semiparametric modeling of grouped current duration data with preferential reporting'"
This report is designed to clarify a few points about the article "Semip...
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How can social planners prevent disappointment in an election?
Mechanism design is concerned with settings where a policy maker (or soc...
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Analysis of Motion Planning by Sampling in Subspaces of Progressively Increasing Dimension
Despite the performance advantages of modern sampling-based motion plann...
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Object Detection with Mask-based Feature Encoding
Region-based Convolutional Neural Networks (R-CNNs) have achieved great ...
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The evolution of the global Markov property for multivariate regression graphs: differences and conflicts
Depending on the interpretation of the type of edges, a chain graph can ...
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Dynamically Efficient Kinematics for Hyper-Redundant Manipulators
A hyper-redundant robotic arm is a manipulator with many degrees of free...
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Additive quantile regression for clustered data with an application to children's physical activity
Additive models are flexible regression tools that handle linear as well...
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A Machine Learning Approach for Power Allocation in HetNets Considering QoS
There is an increase in usage of smaller cells or femtocells to improve ...
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The evolution of multivariate regression chain graphs
Depending on the interpretation of the type of edges, a chain graph can ...
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Reconfigurable Antenna Multiple Access for 5G mmWave Systems
This paper aims to realize a new multiple access technique based on rece...
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On the Properties of MVR Chain Graphs
Depending on the interpretation of the type of edges, a chain graph can ...
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Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images
Constructing 3D structures from serial section data is a long standing p...
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Robot Design: Formalisms, Representations, and the Role of the Designer
The objective of this paper is to distill the following essential idea f...
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Letter to the Editor
Galarza, Lachos and Bandyopadhyay (2017) have recently proposed a method...
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Computational Analysis of Insurance Complaints: GEICO Case Study
The online environment has provided a great opportunity for insurance po...
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A Proof of the Front-Door Adjustment Formula
We provide a proof of the the Front-Door adjustment formula using the do...
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Comment on: Decomposition of structural learning about directed acyclic graphs [1]
We propose an alternative proof concerning necessary and sufficient cond...
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On difference graphs and the local dimension of posets
The dimension of a partially-ordered set (poset), introduced by Dushnik ...
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Quantile contours and allometric modelling with an application to anthropometric charts in preterm infants
We develop an approach to risk classification based on quantile contours...
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Cross-App Threats in Smart Homes: Categorization, Detection and Handling
A number of Internet of Things (IoTs) platforms have emerged to enable v...
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Efficient Multi-Robot Coverage of a Known Environment
This paper addresses the complete area coverage problem of a known envir...
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Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
Binary code analysis allows analyzing binary code without having access ...
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Review Helpfulness Assessment based on Convolutional Neural Network
In this paper we describe the implementation of a convolutional neural n...
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Cross-App Interference Threats in Smart Homes: Categorization, Detection and Handling
A number of Internet of Things (IoTs) platforms have emerged to enable v...
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