Gallery — Two-column

Gallery Items tagged Two-column

Show all Gallery Items

ESQUEMA DE PUBLICACION PAPER - UNSA
ESQUEMA DE PUBLICACION PAPER - UNSA
Esquema para la publicación de artículos o papers de la Universidad Nacional de San Agustín.
EditorialUNSA
 Assignment Template
Assignment Template
You can use this as a template for assignment
Md Atikuzzaman
Modelo Lista com gabarito
Modelo Lista com gabarito
Lista de exercício com gabarito
germano
AES Brasil - 2016 Congress Template
AES Brasil - 2016 Congress Template
This is a template for the 2016 AES Brasil congress article. I do not own this template, nor have designed it. I just downloaded from the official website and uploaded here on overleaf
AES Brasil
Security Systems : Facial Recognition using MATLAB
Security Systems : Facial Recognition using MATLAB
Biometric refers to the automatic identification of a person based on his or her physiological and individual characteristics that can be easily verified. Among the featured measures of this system are face, fingerprint, speech recognition, retinal and signature etc. To fortify the actual presence of a real trait against a fake self-generated sample biometric system is used. In this research paper, the focus is laid on basic techniques for security system. Face recognition. In face recognition, facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject’s face. [1]We can apply it to the servo motors using train database and test database. If the data matches the train database, it sends the command to the servo motors which in turn will open the door. [2]The UI displays ACCESS ACCEPTED or ACCESS DENIED based on the recognition using test and trained databases.This system is implemented using MATLAB.
Abhishek Anand
MOCO'16 Conference Proceedings Format
MOCO'16 Conference Proceedings Format
Downloaded from http://moco16.multimedia.uom.gr/index.php/papers/authors NOTE: The original template did not include a sample bibtex file
Moco 2016 Conference
WebLab1
WebLab1
本次Lab设计一个家庭(宿舍、实验室)网络。说明用户需求(功能及服务),采用的技术(802.11/802.3)及主要设备的型号、传输介质及其特性,给出网络结构的描述(可用Visio工具绘图),所需费用;提出一些与技术与应用相关的问题。ISP提供的接口:有线电视、移动、联通、电信 用户计算机数:台式机、笔记本、智能手机使用方式及性能:固定、移动;带宽需求典型设备:AP路由器、交换机、专用服务器网络安装与测试费用:设备购置、使用费、维护费。
DrLC
An Integration Challenge to Bridge the Gap among  Industry-inspired RoboCup Leagues
An Integration Challenge to Bridge the Gap among Industry-inspired RoboCup Leagues
Manufacturing industries are changing rapidly towards more flexibility and autonomy. The RoboCup Logistics League (RCLL) and RoboCup@Work tackle research questions in this domain focusing on automated reasoning and planning, and mobile manipulation respectively. However, future scenarios will require both aspects (and more) and will most likely operate with more heterogeneous systems. In this paper, we propose a cross-over challenge to foster closer cooperation among the two leagues to address these challenges. We outline four integration milestones and propose a specific scenario and task for the first milestone. The effort is driven by stakeholders of both leagues.
Sebastian Zug, Tim Niemueller, Nico Hochgeschwender, Kai Seidensticker, Martin Seidel, Tim Friedrich, Tobias Neumann, Ulrich Karras, Gerhard Kraetzschmar, and Alexander Ferrein
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.
leo.ranaldi

Related Tags

PortugueseRésumé / CVHandoutInternational LanguagesMathUniversityHomework AssignmentAlgorithmBiberBibLaTeXConference PaperElectronicsPhysicsSource Code ListingFrenchPortuguese (Brazilian)Getting StartedEssaySpanishGermanLuaLaTeXGeophysicsAcademic JournalThesisProject / Lab ReportKoreanNorwegianF1000ResearchXeLaTeXArabicSociety of Exploration GeophysicistsSEGTeXReykjavík UniversityUniversidad Nacional Autónoma de MéxicoUniversidad de Costa RicaJapaneseIEEE Official TemplatesIEEE (all)IEEE Community Templates and ExamplesSIGCHIUniversidade Federal do Rio Grande do SulVietnameseChineseUniversidade de LisboaUniversidad Autónoma de OccidenteAssociation for Computational LinguisticsUniversity of PortoResearch ProposalLecture NotesDutchTechnical ManualCERNSAGE PublicationsHumanitiesUniversity of California, DavisDictionaryDirect Submission LinkEurographicsbioRxivRoyal Meteorological Society (RMetS)Senter for klinisk dokumentasjon og evaluering (SKDE)F1000Research - Official TemplatesAssociation for Computing Machinery (ACM) - Official Sample PapersAssociation for Computing Machinery (ACM) - Official Master TemplatesVrije Universiteit Brussel (VUB)PreprintsAveiro UniversitySoftware EngineeringUniversidad Nacional de San AgustínInstituto Nacional de Telecomunicações (INATEL)