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Chuck Needham

Chuck Needham
MICROSOFT RESEARCH SUPPORT ENGINEER
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Projects

Kinect for Windows SDK beta

Coming later this spring, the Kinect for Windows SDK is a programming toolkit that will enable researchers and enthusiasts easy access to the capabilities offered by the Microsoft Kinect device connected to computers running Microsoft Windows 7.

 

 

Microsoft Tag

 Microsoft Tag connects real life with the digital world. Microsoft Tags are small, colorful codes that can be printed, stuck, or displayed just about anywhere. When you snap a Tag with the camera on your internet-enabled phone, additional information or experiences are automatically opened on your phone. There is no fumbling with URLs or texting short codes. Microsoft Tags can make product packages, posters, print-based ads, magazine articles, exhibit signage, billboards, storefronts, business card, or just about anything else, interactive.

Songsmith

Songsmith

Songsmith generates musical accompaniment to match a singer’s voice. Just choose a musical style, sing into your PC’s microphone, and Songsmith will create backing music for you. Then share your songs with your friends and family, post your songs online, or create your own music videos.

 

WorldWide Telescope

WorldWide Telescope

The WorldWide Telescope (WWT) is a rich visualization environment that functions as a virtual telescope, bringing together imagery from the best ground- and space-based telescopes in the world to enable seamless, guided explorations of the universe. 

 

 

 

People
Angel, Tambie
Angel, Tambie

Carbary, Tony
Carbary, Tony

Chandrasekaran, Nirupama
Chandrasekaran, Nirupama

Choudhury, Piali
Choudhury, Piali

Edelman Pelton, Alicia
Edelman Pelton, Alicia

Eversole, Adam
Eversole, Adam

Hart, Ted
Hart, Ted

Hughes, Richard
Hughes, Richard

Johnston, David
Johnston, David

Marriott, Ian
Marriott, Ian

Moeur, Robin
Moeur, Robin

Olynyk, Kirk
Olynyk, Kirk

von Veh, Curtis
von Veh, Curtis

Personal Web Site

Contact Info

Research News
Downloads
  • Tabular
    Tabular is an Excel 2013 add-in that brings the power of machine learning to data enthusiasts — the large class of spreadsheet users who wish to model and learn from their data, who have some knowledge of probability distributions and data schemas, but who are not necessarily professional developers. Tabular helps the data enthusiast model and visualize their data. Tabular automatically suggests a model from the data schema, allows the enthusiast to edit and refine the model, infers model parameters from data and predicts missing values, and visualizes the results using Excel’s standard features. The ability to query for missing values provides a uniform interface to a wide variety of tasks, including classification, clustering, recommendation, and ranking. Tabular is based on probabilistic programming technology, which enables a wide range of machine learning algorithms to be constructed based on a probabilistic model. A unique feature is that Tabular models are simply succinct annotations on the relational schema of the Excel data model. Tabular provides a fast and fluid visual interface to the underlying Infer.NET inference engine..
  • Dataset for Inferring Missing Entity Type Instances for Knowledge Base Completion
    This is a dataset that can be used for training and evaluating knowledge base completion approaches for inferring missing entity type instances. We construct our training snapshot by taking the Freebase snapshot on 3rd September, 2013 and consider entities that have a link to their Wikipedia page. The development and test data consists of facts that were added to the 1st June, 2014 snapshot of Freebase. To get negative data, we make a closed world assumption treating any unobserved instance in Freebase as a negative example. Unobserved instances in the Freebase snapshot on 3rd September, 2013 and 1st June, 2014 are used as negative examples in training and testing respectively.
  • Microsoft Research Project Colletta
    Project Colletta is an extension of the Windows UI that supports lightweight management of the user's activities through tagging.
  • MSR Demosaicing Dataset
    The Microsoft Research Cambridge demosaicing data set consists of set of raw images, and their downscaled versions which can be used for learning and evaluating demosaicing (and possibly other tasks like denoising), both in linear-space and color-space.
  • Image Composite Editor (32 bit)
    Image Composite Editor (ICE) is an advanced panoramic image stitcher. Given a set of overlapping photographs of a scene shot from a single camera location, the app creates a seamless high-resolution panorama. ICE can also create a panorama from a panning video, including stop-motion action overlaid on the background. Finished panoramas can be shared and viewed in 3D on the Photosynth web site, or saved in a variety of image formats.