Showing posts with label released. Show all posts
Showing posts with label released. Show all posts

BSc IT Sem 5 2009 2010 Result released

BSc IT Sem V Result is released today.
Check it out here

Let the world know your result;
If interested please comment below your Name, College and Percentage below.

It will take time to load because many of us are checking there results simultaneously.

Source: www.mu.ac.in
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Microsoft Office 2010 Beta released for public download


Top Ten Benefits of Office 2010 Beta

Express your ideas more visually
Office 2010 opens up a world of design options to help you give life to your ideas. The new and improved picture formatting tools such as color saturation and artistic effects let you transform your document visuals into a work of art. Combined with a wide range of new pre-built Office themes and SmartArt® graphic layouts, Office 2010 gives you more ways to make your ideas stick.

Accomplish more when working together
Brainstorm ideas, provide better version control, and meet deadlines faster when you work in groups. The co-authoring experience for Microsoft® Word 2010, Microsoft PowerPoint 2010, Microsoft® Excel Web App and Microsoft OneNote shared notebooks let you work on a file with several people at once - even from different locations.

Enjoy the familiar Office experience from more locations and more devices
With Office 2010, you can get things done more easily, from more locations and more devices. Using a smartphone or virtually any computer with an Internet connection, you can work when and where you want to work.

Microsoft Office Web Apps
Extend your Office 2010 experience to the Web. Store your Word, Excel, PowerPoint, and OneNote files online and then access, view, edit, and share content through the web.

Microsoft Office Mobile 2010
Stay current and respond quickly using enhanced mobile versions of Office 2010 applications, specifically suited to your Windows Mobile-based smartphone.

Create powerful data insights and visuals
Track and highlight important trends with new data analysis and visualization features in Excel 2010. The new Sparklines feature delivers a clear and compact visual representation of your data with small charts within worksheet cells. Filter and segment your PivotTable data in multiple layers using Slicers to spend more time analyzing and less time formatting.

Deliver compelling presentations
Captivate your audience with personalized videos in your presentation. Insert and customize videos directly in PowerPoint 2010—trim, add fades and effects, or bookmark key points in the video to call attention to selected scenes. Videos you insert are now embedded by default, relieving you from managing and sending additional video files.

Manage large volumes of e-mail with ease
Compress your long e-mail threads into a few conversations that can be categorized, filed, ignored, or cleaned up. The new Quick Steps feature let you perform multi-command tasks, such as reply and delete an e-mail in a single click, saving you time and in-box space.

Store and track all your ideas and notes in one place
Get the ultimate digital notebook for tracking, organizing, and sharing your text, picture, video and audio notes with OneNote 2010. New features such as version tracking, automatic highlighting, and Linked Notes give you more control over your notes so you’re always on top of where your ideas came from and the latest changes when working in teams.

Get your message out instantly
Broadcast your PowerPoint presentation to a remote audience, whether or not they have PowerPoint installed.5 The new Broadcast Slide Show feature allows you to share your presentation through a web browser quickly without additional set up.

Get things done faster and easier
Microsoft Office Backstage™ view replaces the traditional File menu to give you a centralized space for all of your file management tasks, such as the ability to save, share, print, and publish. The enhanced Ribbon across Office 2010 applications lets you access commands quickly and customize tabs to personalize the experience to your work style.

Access work across devices and platforms
Enjoy the freedom of using Office 2010 from more locations on more devices. When you use Microsoft® Office 2010, you’re getting the familiar and intuitive Office experience across PCs, Smartphones, and Web browsers on the go.

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Released Data Set Features Extracted From YouTube Videos for Multiview Learning


“If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck.”
The “duck test”.

Performance of machine learning algorithms, supervised or unsupervised, is often significantly enhanced when a variety of feature families, or multiple views of the data, are available. For example, in the case of web pages, one feature family can be based on the words appearing on the page, and another can be based on the URLs and related connectivity properties. Similarly, videos contain both audio and visual signals where in turn each modality is analyzed in a variety of ways. For instance, the visual stream can be analyzed based on the color and edge distribution, texture, motion, object types, and so on. YouTube videos are also associated with textual information (title, tags, comments, etc.). Each feature family complements others in providing predictive signals to accomplish a prediction or classification task, for example, in automatically classifying videos into subject areas such as sports, music, comedy, games, and so on.

We have released a dataset of over 100k feature vectors extracted from public YouTube videos. These videos are labeled by one of 30 classes, each class corresponding to a video game (with some amount of class noise): each video shows a gameplay of a video game, for teaching purposes for example. Each instance (video) is described by three feature families (textual, visual, and auditory), and each family is broken into subfamilies yielding up to 13 feature types per instance. Neither video identities nor class identities are released.

We hope that this dataset will be valuable for research on a variety of multiview related machine learning topics, including multiview clustering, co-training, active learning, classifier fusion and ensembles.

The data and more information can be obtained from the UCI machine learning repository (multiview video dataset), or from here.
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