International Business Machines Corporation

Karol W Lynch

Bei Chen

Eric P Bouillet

Thanh Lam Hoang

Rahul Nair

Davide Pasetto

Pascal Pompey

Randall Lee Cogill

Marco Laumanns

John Sheehan

Albert Akhriev

Ronan Bohan

Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.

Predictive model clustering

A method and system for enabling interaction with unmodified 3D graphics applications using face-tracking. The method includes determining a position of a viewer using face-tracking component and transforming a viewer's position to application coordinates. The application coordinates are passed to a wrapper library around a 3D graphics application's library. The 3D graphic application's instruction stream is altered to display 3D graphics on a display with scenes rendered as seen from the viewer's position. The 3D graphics application is forced to load a wrapper library which overloads functions of the underlying 3D graphics application library. In this way, the 3D graphics application can be an existing unmodified 3D graphics application provided on a computer system.

Addition of immersive interaction capabilities to otherwise unmodified 3D graphics applications

Growing community of inventors

Dublin, Ireland

Karol W Lynch