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Papers Unity

“Unity” 태그가 달린 논문 378편 · 필터 해제

Partition of unity networks: deep hp-approximation

2021-01-27 · Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian 외

Approximation theorists have established best-in-class optimal approximation rates of deep neural networks by utilizing their ability to simultaneously emulate partitions of unity and monomials. Motivated by this, we pro…

Unity

UFA-FUSE: A novel deep supervised and hybrid model for multi-focus image fusion

2021-01-12 · Yongsheng Zang, Dongming Zhou, Changcheng Wang, Rencan Nie 외

Traditional and deep learning-based fusion methods generated the intermediate decision map to obtain the fusion image through a series of post-processing procedures. However, the fusion results generated by these methods…

Image ReconstructionMulti Focus Image FusionUnity

Adaptive Synthetic Characters for Military Training

2021-01-06 · Volkan Ustun, Rajay Kumar, Adam Reilly, Seyed Sajjadi 외

Behaviors of the synthetic characters in current military simulations are limited since they are generally generated by rule-based and reactive computational models with minimal intelligence. Such computational models ca…

BIG-bench Machine LearningImitation LearningUnity

Controlling Synthetic Characters in Simulations: A Case for Cognitive Architectures and Sigma

2021-01-06 · Volkan Ustun, Paul S. Rosenbloom, Seyed Sajjadi, Jeremy Nuttal

Simulations, along with other similar applications like virtual worlds and video games, require computational models of intelligence that generate realistic and credible behavior for the participating synthetic character…

Distributional Reinforcement LearningUnity

Unity of Opposites: SelfNorm and CrossNorm for Model Robustness

2021-01-01 · Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang 외

Studies have demonstrated the fundamental behavioral difference between human vision and Convolutional Neural Networks (CNNs). Human vision can make robust object recognition mainly using object shape (content). In contr…

Object RecognitionUnity

Partition of Unity Methods for Signal Processing on Graphs

2020-12-19 · Roberto Cavoretto, Alessandra De Rossi, Wolfgang Erb

Partition of unity methods (PUMs) on graphs are simple and highly adaptive auxiliary tools for graph signal processing. Based on a greedy-type metric clustering and augmentation scheme, we show how a partition of unity c…

ClusteringUnity

Disentangling a Deep Learned Volume Formula

2020-12-07 · Jessica Craven, Vishnu Jejjala, Arjun Kar

We present a simple phenomenological formula which approximates the hyperbolic volume of a knot using only a single evaluation of its Jones polynomial at a root of unity. The average error is just $2.86$% on the first $1…

Unity

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off

2020-11-26 · Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos

Graph data is ubiquitous in academia and industry, from social networks to bioinformatics. The pervasiveness of graphs today has raised the demand for algorithms that can answer various questions: Which products would a …

Bayesian OptimizationGraph MiningUnity

Using Unity to Help Solve Intelligence

2020-11-18 · Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter 외

In the pursuit of artificial general intelligence, our most significant measurement of progress is an agent's ability to achieve goals in a wide range of environments. Existing platforms for constructing such environment…

Unity

Open-Source Morphology for Endangered Mordvinic Languages

2020-11-11 · Jack Rueter, Mika Hämäläinen, Niko Partanen

This document describes shared development of finite-state description of two closely related but endangered minority languages, Erzya and Moksha. It touches upon morpholexical unity and diversity of the two languages an…

DiversityUnity

Deep Reinforcement Learning for Navigation in AAA Video Games

2020-11-09 · Eloi Alonso, Maxim Peter, David Goumard, Joshua Romoff

In video games, non-player characters (NPCs) are used to enhance the players' experience in a variety of ways, e.g., as enemies, allies, or innocent bystanders. A crucial component of NPCs is navigation, which allows the…

Deep Reinforcement LearningNavigatereinforcement-learningReinforcement Learning+2

Physical Layer Security of Intelligent Reflective Surface Aided NOMA Networks

2020-11-06 · Zhiqing Tang, Tianwei Hou, Yuanwei Liu, Jiankang Zhang 외

Intelligent reflective surface (IRS) technology is emerging as a promising performance enhancement technique for next-generation wireless networks. Hence, we investigate the physical layer security of the downlink in IRS…

DiversityUnity

A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot

2020-10-27 · David Hanson, Alishba Imran, Abhinandan Vellanki, Sanjeew Kanagaraj

We outline the design and construction of novel robotic arms using machine perception, convolutional neural networks, and symbolic AI for logical control and affordance indexing. We describe our robotic arms built with a…

Unity

Affine transformation of virtual 3D object using 2D localization of fingertips

2020-10-27 · Mohammad Mahmudul Alam, S. M. Mahbubur Rahman

Background Interactions with virtual 3D objects in the virtual reality (VR) environment using the gesture of fingers captured in a wearable 2D camera have emerging applications in real-life. Method This paper presen…

Fingertip DetectionHand DetectionHand Gesture RecognitionMixed Reality+1

Fractional-Order Single State Reset Element

2020-09-23

This paper proposes a fractional-order reset element whose architecture allows for the suppression of nonlinear effects for a range of frequencies. Suppressing the nonlinear effects of a reset element for the desired fre…

Unity

Enhancing Ambient Backscatter Communication Utilizing Coherent and Non-Coherent Space-Time Codes

2020-09-14 · Wenjing Liu, Shanpu Shen, Danny H. K. Tsang, Ross Murch

Ambient backscatter communication (AmBC) leverages the existing ambient radio frequency (RF) environment to implement communication with battery-free devices. The key challenge in the development of AmBC is the very weak…

TAGUnity

Flightmare: A Flexible Quadrotor Simulator

2020-09-01 · Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio 외

State-of-the-art quadrotor simulators have a rigid and highly-specialized structure: either are they really fast, physically accurate, or photo-realistic. In this work, we propose a novel quadrotor simulator: Flightmare.…

Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)+1

Boosting spatial resolution by incorporating periodic boundary conditions into single-distance hard-x-ray phase retrieval

2020-08-30

A simple coherent-imaging method due to Paganin et al. is widely employed for phase-amplitude reconstruction of samples using a single paraxial x-ray propagation-based phase-contrast image. The method assumes that the sa…

RetrievalUnity

ROOT-SGD: Sharp Nonasymptotics and Near-Optimal Asymptotics in a Single Algorithm

2020-08-28 · Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan

We study the problem of solving strongly convex and smooth unconstrained optimization problems using stochastic first-order algorithms. We devise a novel algorithm, referred to as Recursive One-Over-T SGD (ROOT-SGD), bas…

Stochastic OptimizationUnity

BLSM: A Bone-Level Skinned Model of the Human Mesh

2020-08-01 · ECCV 2020 8 · Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou 외

We introduce BLSM, a bone-level skinned model of the human body mesh where bone scales are set prior to template synthesis, rather than the common, inverse practice. BLSM first sets bone lengths and joint angles to speci…

Unity
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