搜索结果: 1-15 共查到“计算机科学技术 Text”相关记录36条 . 查询时间(0.095 秒)
Real or fake text? We can learn to spot the difference（图）
Computer Science Artificial Intelligence 人工智能
2023/6/29
The most recent generation of chatbots has surfaced longstanding concerns about the growing sophistication and accessibility of artificial intelligence.
Artificial intelligence system learns concepts shared across video, audio, and text（图）
人工智能系统 视频剪辑 算法
2023/6/20
Humans observe the world through a combination of different modalities, like vision, hearing, and our understanding of language. Machines, on the other hand, interpret the world through data that algo...
The word lists packaged and shared amongst researchers to measure for bias in online texts often carry words, or “seeds,” with baked-in biases and stereotypes, which could skew their findings, new Cor...
Text Entry Using a Dual Joystick Game Controller
Text entry dual joystick dual control pad game controller, game console
2016/5/24
We present a new bimanual text entry technique designed
for today’s dual-joystick game controllers. The left and
right joysticks are used to independently select characters
from the corresponding (...
Extracting References Between Text and Charts via Crowdsourcing
visualization crowdsourcing interactive documents
2016/5/24
News articles, reports, blog posts and academic papers often
include graphical charts that serve to visually reinforce
arguments presented in the text. To help readers better understand
the relatio...
Smartphone Security:Why Doodling Trumps Text Passwords
Smartphone Security Doodling Trumps Text Passwords
2016/3/21
Someday soon, you may be able to log into your smartphone with sweeping gestures or doodling, using one or more fingers.Rutgers University researchers have performed the first study of free-form gestu...
福建农林大学计算机与信息学院JAVA语言程序设计课件Chapter9 Strings and Text I-O
福建农林大学计算机与信息学院 JAVA语言程序设计 课件 Chapter9 Strings and Text I-O
2015/9/21
福建农林大学计算机与信息学院JAVA语言程序设计课件Chapter9 Strings and Text I-O。
CCF2015第五届文字计算会议及2015 Workshop on Character and Text Understanding (W-CTU 2015)征稿启事
CCF 2015 第五届 文字计算会议 2015 Workshop on Character and Text Understanding 征稿
2015/6/30
由中国计算机学会主办，中文信息技术专委承办的CCF 2015第五届文字计算会议将于2015年10月24-25在南京师范大学召开，本次会议将体现文字计算的多学科交叉与渗透。会议将邀请来自计算机、语言与文字、文化和艺术领域等多个学科的专家学者，为文字计算相关领域的不同学科的研究者提供更多的沟通和交流的机会，探讨文字计算的基础理论研究及其应用，讨论该领域内最新的突破性进展，交流新的学术思想和新方法，探索...
Improving Text Recognition in Images of Natural Scenes
Computer Vision Scene Text Text Recognition
2014/12/18
The area of scene text recognition focuses on the problem of recognizing arbitrary text in images of natural scenes. Examples of scene text include street signs, business signs, grocery item labels, a...
With an average of 17 Chinese characters per phonetic syllable, correcting conversion errors with current phonetic input method editors (IMEs) is often painstaking and time consuming. We explore the a...
Incorporating Content Structure into Text Analysis Applications
Text Analysis Applications Content Structure
2014/11/26
Incorporating Content Structure into Text Analysis Applications。
Learning High-Level Planning from Text。
Using Web Crawler Technology for Text Analysis of Geo-Events: A Case Study of the Huangyan Island Incident
Web crawler technology text information sentiment analysis Huangyan Island incident
2014/4/21
With the social networking and network socialisation have brought more text information and social relationships into our daily lives, the question of whether big data can be fully used to study the p...
A temporal model of text periodicities using Gaussian Processes
A temporal model of text periodicities Gaussian Processes
2014/3/20
Temporal variations of text are usually ignored in NLP applications. However, text use changes with time, which can affect many applications. In this paper we model periodic distributions of words ove...
A Process for Extracting Non-Taxonomic Relationships of Ontologies from Text
Ontology Ontology Learning Non-Taxonomic Relationships Natural Language Processing
2013/1/28
Manual construction of ontologies by domain experts and knowledge engineers is an expensive and time consuming task so, automatic and/or semiautomatic approaches are needed. Ontology learning looks fo...
