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JPD1436 Web Image Re-Ranking Using Query-Specific Semantic Signatureschennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
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Using Cognitive Services describes the use of the Cognitive Services APIs for text and image processing, and in recommendation applications, and also describes the use of neural networks with Azure Machine Learning.
Gianluigi Viganò - How to use HP HEAVEN-on-demand functions for Big Data appsCodemotion
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Well not quite, but they can detect them. This talk will explore Microsoft Cognitive Services in Azure. We'll take a look at the offerings overall, and then take a deeper look into specifics such as Sentiment analysis, Computer vision (image recognition) and Emotion detection.
Vision: Image-processing algorithms to smartly identify, caption and moderate your pictures
Computer vision: Distill actionable information from images
Content Moderator: Automatically moderate potentially offensive images, text and videos
Customer Vision Service: Train a web service to recognize specific content in images
Face: Identify human faces and emotions in images
Video indexer: Easily extract insights from your videos to enrich your applications
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app
Bing Speech: Convert speech to text and text to speech
Speaker Recognition: Use speech to identify and authenticate individual speakers
Custom Speech Service: Overcome speech recognition barriers like speaking style, background noise, and vocabulary
Translator Speech: Easily conduct real-time speech translation on your app
Language: Enable your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want
Bing Spell Check: Add spell checking functionality to your app
Language Understanding (LUIS): Add language understanding intelligence to your apps with minimal effort
Linguistic Analysis: Easily parse complex text with language analysis
Text Analytics: Easily evaluate sentiment, language, and key phrases to understand what users want
Translator Text: Easily conduct machine translation for 60+ languages
Knowledge: Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search
Knowledge Exploration Service: Enable interactive search experiences over structured data via natural language inputs
Entity Linking Service: Power your app's data links with named entity recognition and disambiguation
Academic Knowledge: Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API
QnA Maker: Distill information into an easy-to-navigate FAQ for bot services
Customer Decision Service: Create custom experiences with adaptive, contextual decision-making
Search: Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call
Bing Autosuggest: Give your app intelligent autosuggest options for searches
Bing News Search: Search for news and get comprehensive results
Bing Web Search: Get enhanced search details from billions of web documents
Bing Entity Search: Enrich your experiences by identifying and augmenting entity information from the web
Bing Image Search: Search for images and get comprehensive results
Bing Video Search: Search for videos and get comprehensive results
Bing Custom Search: Create tailored site search or vertical search experiences for topics you care about
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Microsoft AI: Cognitive Service - Global Azure bootcamp 2018JoTechies
Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Transform your business with AI today
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Amit Sheth, SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITY, Keynote at:
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Using Cognitive Services describes the use of the Cognitive Services APIs for text and image processing, and in recommendation applications, and also describes the use of neural networks with Azure Machine Learning.
Gianluigi Viganò - How to use HP HEAVEN-on-demand functions for Big Data appsCodemotion
HP Haven, the industry’s first comprehensive, scalable, open, and secure platform for Big Data analytics enables you to deliver actionable insight where and when it is needed to drive superior business outcomes and gain competitive advantage. It includes HP Haven OnHadoop the most comprehensive array of SQL functions with any Hadoop distribution.
Well not quite, but they can detect them. This talk will explore Microsoft Cognitive Services in Azure. We'll take a look at the offerings overall, and then take a deeper look into specifics such as Sentiment analysis, Computer vision (image recognition) and Emotion detection.
Vision: Image-processing algorithms to smartly identify, caption and moderate your pictures
Computer vision: Distill actionable information from images
Content Moderator: Automatically moderate potentially offensive images, text and videos
Customer Vision Service: Train a web service to recognize specific content in images
Face: Identify human faces and emotions in images
Video indexer: Easily extract insights from your videos to enrich your applications
Speech: Convert spoken audio into text, use voice for verification, or add speaker recognition to your app
Bing Speech: Convert speech to text and text to speech
Speaker Recognition: Use speech to identify and authenticate individual speakers
Custom Speech Service: Overcome speech recognition barriers like speaking style, background noise, and vocabulary
Translator Speech: Easily conduct real-time speech translation on your app
Language: Enable your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want
Bing Spell Check: Add spell checking functionality to your app
Language Understanding (LUIS): Add language understanding intelligence to your apps with minimal effort
Linguistic Analysis: Easily parse complex text with language analysis
Text Analytics: Easily evaluate sentiment, language, and key phrases to understand what users want
Translator Text: Easily conduct machine translation for 60+ languages
Knowledge: Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search
Knowledge Exploration Service: Enable interactive search experiences over structured data via natural language inputs
Entity Linking Service: Power your app's data links with named entity recognition and disambiguation
Academic Knowledge: Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API
QnA Maker: Distill information into an easy-to-navigate FAQ for bot services
Customer Decision Service: Create custom experiences with adaptive, contextual decision-making
Search: Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call
Bing Autosuggest: Give your app intelligent autosuggest options for searches
Bing News Search: Search for news and get comprehensive results
Bing Web Search: Get enhanced search details from billions of web documents
Bing Entity Search: Enrich your experiences by identifying and augmenting entity information from the web
Bing Image Search: Search for images and get comprehensive results
Bing Video Search: Search for videos and get comprehensive results
Bing Custom Search: Create tailored site search or vertical search experiences for topics you care about
Cognitive Services: Building Smart Apps with Speech, NLP & VisionNick Landry
Your computer can recognize your voice and detect words in a speech dictation, but can it truly understand the meaning of what you are saying? Can it analyze your intent and respond accordingly? You don’t need a PhD in artificial intelligence to integrate speech and natural language understanding in your projects. Microsoft Cognitive Services (aka “Project Oxford”) is a portfolio of cloud-based REST APIs and SDKs powered by Machine Learning which enable developers to write applications which understand the content within the rapidly growing set of multimedia data. Cognitive Services API services will help you understand and interact with audio, text, image, and video. In this session, we’ll start with an overview of available services for speech recognition and speech synthesis. Then we’ll explore through live demos how to leverage the Language Understanding Intelligent Service which lets you determine intent, detect entities in user speech and improve language understanding models to more efficiently work with user data. Lastly, we’ll leverage Computer Vision APIs to detect human faces, analyze the content of images, and perform Optical Character Recognition (OCR) to detect and analyze words within a photo. Come learn how your apps can tap into the same active learning services behind the brain of Cortana, and get started writing smart applications that can understand what your users are saying.
Rina Ahmed, Tech Evangelist at Microsoft, is giving an introduction to the Microsoft Cognitive Services APIs. You can find live examples, the range of services the APIs offer and information on how to integrate them.
Microsoft AI: Cognitive Service - Global Azure bootcamp 2018JoTechies
Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Transform your business with AI today
Microsoft Cognitive Services let you build apps with powerful algorithms using just a few lines of code. They work across devices and platforms such as iOS, Android, and Windows, keep improving, and are easy to set up.
SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITYAmit Sheth
Amit Sheth, SEMANTIC CONTENT MANAGEMENT FOR ENTERPRISES AND NATIONAL SECURITY, Keynote at:
CONTENT- AND SEMANTIC-BASED INFORMATION RETRIEVAL @ SCI 2002.
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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6. Computer Vision API
Distill actionable
information from images
Video API
Analyze, edit, and
process videos within
your app
Face API
Detect, identify, analyze,
organize, and tag faces in
photos
Content Moderator
API
Machine-assisted
moderation of text,
images, and videos,
augmented with human
review tools
Vision
Emotion API
Personalize experiences
with emotion recognition
7.
8.
9.
10. Visual Feature Description
Categories categorizes image content according to a taxonomy defined in
documentation
Tags tags the image with a detailed list of words related to the image
content
Description describes the image content with a complete English sentence
Faces detects if faces are present. If present, generate coordinates, gender
and age
ImageType detects if image is clipart or a line drawing
Color determines the accent color, dominant color, and whether an image is
black&white
Adult detects if the image is pornographic in nature (depicts nudity or a sex
act). Sexually suggestive content is also detected
11. Celebrities - identifies celebrities if detected in the image
Landmarks - identifies landmarks if detected in the image
Supported Languages (as of today): EN and ZH (Simplified Chinese)
12. Subscription key which provides access to this API.
Found in your Cognitive Services accounts
13.
14. raw image binary or
image URL
Supported image formats: JPEG, PNG, GIF, BMP.
Image file size must be less than 4MB.
Image dimensions must be at least 50 x 50
23. SharePoint
Service
WebHook creation: POST /_api/web/lists('list-id')/subscriptions
Yourapplication
Grab “CurrentChangeToken” from list
YourWebHook
notificationservice
endpoint POST https://{your host}/your/webhook/service
Storage
Queue
WebJob
Grab change
token from DB
Persis last used token
per subscription
SQL
Azure
DBPersist token per
subscription
24. The WebHook payload is very small
Notifications are batched because processing depends on the CSOM GetChanges() call
30. Visual Content
Intelligence
By Diego Grez - Radiografía_pulmones_Francisca_Lorca.jpg, CC BY-SA 3.0,
https://commons.wikimedia.org/w/index.php?curid=10302947