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Jan 15, 2020
Computer Vision

EEV Dataset: Predicting Expressions Evoked by Diverse Videos

When we watch videos, the visual and auditory information we experience can evoke a range of affective responses. The ability to automatically predic…
Jan 15, 2020
Computational Physics
Machine Learning

i-flow: High-dimensional Integration and Sampling with Normalizing Fl…

In many fields of science, high-dimensional integration is required. Numerical methods have been developed to evaluate these complex integrals. We in…
Jan 15, 2020
Machine Learning

Machine learning transfer efficiencies for noisy quantum walks

Quantum effects are known to provide an advantage in particle transfer across networks. In order to achieve this advantage, requirements on both a gr…
Jan 15, 2020
Computation and Language
Machine Learning

AvgOut: A Simple Output-Probability Measure to Eliminate Dull Respons…

Many sequence-to-sequence dialogue models tend to generate safe, uninformative responses. There have been various useful efforts on trying to elimina…
Jan 15, 2020
Computer Vision
Cryptography and Security
Machine Learning
Image and Video Processing

A Reference Architecture for Plausible Threat Image Projection (TIP) …

Threat Image Projection (TIP) is a technique used in X-ray security baggage screening systems that superimposes a threat object signature onto a beni…
Jan 15, 2020
Artificial Intelligence
Computer Science and Game Theory
Machine Learning

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss

Social dilemma situations bring out the conflict between individual and group rationality. When individuals act rationally in such situations, the gr…
Jan 15, 2020
Machine Learning
Distributed
Parallel
and Cluster Computing
Networking and Internet Architecture
Social and Information Networks

The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits

We consider a decentralized multi-agent Multi Armed Bandit (MAB) setup consisting of $N$ agents, solving the same MAB instance to minimize individual…
Jan 15, 2020
Machine Learning
Robotics

Robotic Grasp Manipulation Using Evolutionary Computing and Deep Re…

Intelligent Object manipulation for grasping is a challenging problem for robots. Unlike robots, humans almost immediately know how to manipulate obj…
Jan 15, 2020
Numerical Analysis
Probability
Machine Learning

Time evolution of the characteristic and probability density function…

We investigate the use of physics-informed neural networks-based solution of the PDE satisfied by the probability density function (pdf) of the state…
Jan 15, 2020
Human-Computer Interaction
Artificial Intelligence

Scout: Rapid Exploration of Interface Layout Alternatives through H…

Although exploring alternatives is fundamental to creating better interface designs, current processes for creating alternatives are generally manual…
Jan 15, 2020
Computer Vision

Indoor Layout Estimation by 2D LiDAR and Camera Fusion

This paper presents an algorithm for indoor layout estimation and reconstruction through the fusion of a sequence of captured images and LiDAR data s…
Jan 15, 2020
Machine Learning
Computer Vision

Deep Residual Flow for Novelty Detection

The effective application of neural networks in the real-world relies on proficiently detecting out-of-distribution examples. Contemporary methods se…
Jan 15, 2020
Machine Learning

Automated extraction of mutual independence patterns using Bayesian …

Mutual independence is a key concept in statistics that characterizes the structural relationships between variables. Existing methods to investigate…
Jan 15, 2020
Robotics
Computer Vision

3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep …

Picking objects in a narrow space such as shelf bins is an important task for humanoid to extract target object from environment. In those situations…
Jan 15, 2020
Neural and Evolutionary Computation

Analysis of Genetic Algorithm on Bearings-Only Target Motion Analysis

Target motion analysis using only bearing angles is an important study for tracking targets in water. Several methods including Kalman-like filters a…
Jan 15, 2020
Computer Vision

A Method for Estimating Reflectance map and Material using Deep Learn…

The process of decomposing target images into their internal properties is a difficult task due to the inherent ill-posed nature of the problem. The …
Jan 15, 2020
Machine Learning
Artificial Intelligence

Right for the Wrong Scientific Reasons: Revising Deep Networks by I…

Deep neural networks have shown excellent performances in many real-world applications such as plant phenotyping. Unfortunately, they may show "Cleve…
Jan 15, 2020
Machine Learning

Causal Discovery from Incomplete Data: A Deep Learning Approach

As systems are getting more autonomous with the development of artificial intelligence, it is important to discover the causal knowledge from observa…
Jan 15, 2020
Machine Learning

Two Cycle Learning: Clustering Based Regularisation for Deep Semi-S…

This works addresses the challenge of classification with minimal annotations. Obtaining annotated data is time consuming, expensive and can require …
Jan 15, 2020
Robotics

DGCM-Net: Dense Geometrical Correspondence Matching Network for Inc…

This article presents a method for grasping novel objects by learning from experience. Successful attempts are remembered and then used to guide futu…
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