Rahul Jaikrishin Lalmalani - Seattle WA, US Jane T. Kim - Seattle WA, US Jennifer C. Trahan - Kirkland WA, US Marcus A. Lewis - Seattle WA, US Mary-Lynne Williams - Seattle WA, US Lindsey R. Barcheck - Seattle WA, US Warren G. Stevens - Redmond WA, US Sarah J. Bowers - Snohomish WA, US Mirko Mandic - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 3/048
US Classification:
715760
Abstract:
Various embodiments enable a web browser to promote the availability of an installable application that is associated with a website to which the web browser has been navigated. The web browser is configured to discover the availability of these applications and, responsively, provide a user experience through which the user can acquire and install such applications, as well as switch to applications that have previously been installed. Thus, through the various embodiments, a user is relieved of the burden of having to navigate to a particular application store and periodically search for applications associated with sites to which they browse.
Microsoft Corporation - Redmond WA, US Jane T. Kim - Seattle WA, US Jennifer C. Trahan - Kirkland WA, US Marcus A. Lewis - Seattle WA, US Mary-Lynne Williams - Seattle WA, US Lindsey R. Barcheck - Seattle WA, US Warren G. Stevens - Redmond WA, US Sarah J. Bowers - Snohomish WA, US Mirko Mandic - Seattle WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 3/048
US Classification:
715760
Abstract:
Various embodiments enable a web browser to promote the availability of an installable application that is associated with a website to which the web browser has been navigated. The web browser is configured to discover the availability of these applications and, responsively, provide a user experience through which the user can acquire and install such applications, as well as switch to applications that have previously been installed. Thus, through the various embodiments, a user is relieved of the burden of having to navigate to a particular application store and periodically search for applications associated with sites to which they browse.
Displacement Processor For Inferencing And Learning Based On Sensorimotor Input Data
- Redwood City CA, US Marcus Anthony Lewis - San Francisco CA, US
International Classification:
G06N 5/04 G06N 20/00
Abstract:
Described herein are apparatus and methods for performing inference into the identity of an object. For an object of a plurality of objects, the apparatus receives feature-location information identifying a feature at first location on a first object of the plurality and a feature at a second location on a second object of the plurality. The apparatus activates a first set of location cells that collectively represent the first location on the first object corresponding to a feature on an object of the plurality of objects and a second set of location cells that collectively represent the second location on the second object corresponding to a feature on an object of the plurality of objects. The apparatus activates a set of displacement cells representing displacement of the first set of location cells and the second set of location cells and identifies one or more objects by processing the displacement cells.
Location Processor For Inferencing And Learning Based On Sensorimotor Input Data
An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair. The inference system can perform inference on an unknown object by identifying candidate object-location representations consistent with feature-location representations observed from the sensory input data and control information.
Location Processor For Inferencing And Learning Based On Sensorimotor Input Data
- Redwood City CA, US Marcus Anthony Lewis - San Francisco CA, US
International Classification:
G06K 9/00 G06N 5/04 G06K 9/62
Abstract:
An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The control information describes movement of the sensors or known locations of the sensors relative to a reference point. For a particular object, an inference system learns a set of object-location representations of the object. An object-location representation is a unique characterization of an object-centric location relative to the particular object. The inference system also learns a set of feature-location representations associated with the object-location representation that indicate presence of features at the corresponding object-location pair. The inference system can perform inference on an unknown object by identifying candidate object-location representations consistent with feature-location representations observed from the sensory input data and control information.
Inferencing And Learning Based On Sensorimotor Input Data
- Redwood City CA, US Subutai Ahmad - Palo Alto CA, US Yuwei Cui - Redwood City CA, US Marcus Anthony Lewis - San Francisco CA, US
International Classification:
G06N 5/04
Abstract:
Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs. The sensory inputs describe one or more features of the objects. The location information describes known or potential locations of the sensors generating the sensory inputs. An inference system learns representations of objects by characterizing a plurality of feature-location representations of the objects, and then performs inference by identifying or updating candidate objects consistent with feature-location representations observed from the sensory input data and location information. In one instance, the inference system learns representations of objects for each sensor. The set of candidate objects for each sensor is updated to those consistent with candidate objects for other sensors, as well as the observed feature-location representations for the sensor.
Ex'pression College 2009 - 2011
Bachelor of Applied Science, Game Art and Design
Western Career College 2004 - 2006
Associates of Applied Science, Computer Graphics
Interests:
Character designing, modeling, and texturing. Also enviornment designing, modeling, and texturing.
Its an area that has been very good to Florida State recently and in the past with players like 2018 signee AJ Lytton, offensive tackle Jauan Williams and former players Marcus Lewis, Brock Ruble, Ronald Darby, and Eddie Goldman.
Date: Sep 03, 2018
Category: Headlines
Source: Google
FSU aware of challenges Mitch Trubisky, North Carolina offense present
FSU defensive back Marcus Lewis, who has lined up at the star position for the majority of the snaps this season, admitted that he will match up with Switzer for a decent amount of plays on Saturday, and is very aware of what his strengths are.
Date: Sep 29, 2016
Category: Sports
Source: Google
Florida State vs. Louisville live stream, live score updates; college football 2016
ut for an extended period after having surgery to repair a torn meniscus. Senior Nate Andrews, who missed the first two games due to a calf injury, is likely to return this week and would move into James' spot. Sophomore corners Tavarus McFadden and Marcus Lewis are expected to get challenged early.
Date: Sep 17, 2016
Category: Sports
Source: Google
No. 2 Florida State visits No. 10 Louisville in ACC showdown
out for an extended period after having surgery to repair a torn meniscus. Senior Nate Andrews, who missed the first two games due to a calf injury, is likely to return this week and would move into James' spot. Sophomore corners Tavarus McFadden and Marcus Lewis are expected to get challenged early.
Date: Sep 16, 2016
Category: Sports
Source: Google
Jameis Winston on FSU halftime speech: 'Just had to light some fire'
points to complete the biggest comeback win in school history. Francois completed 33 of 52 passing attempts for 419 yards and two touchdowns while Dalvin Cook rushed for 91 yards. Marcus Lewis and Tarvarus McFadden each had second-half interceptions, along with Derwin James' pick in the first quarter.
unanswered points to complete the biggest comeback in school history. Francois completed 33 of 52 passing attempts for 419 yards and two touchdowns while Dalvin Cook rushed for 91 yards. Marcus Lewis and Tarvarus McFadden each had second-half interceptions, along with Derwin James' pick in the first quarter.
It gave the Seminoles a glimpse of hope after they were badly outplayed for most of the half, and they kept themomentum rolling at the start of the third with anotherAguayo field goal and an interception from defensive back Marcus Lewis.
Date: Sep 06, 2016
Category: Sports
Source: Google
FSU celebrates top recruiting class despite lackluster Signing Day
In addition to keeping its class intact, FSU did drop one bombshell. The Seminoles came in late to swoop up blue-chip CB Marcus Lewis of Washington, D.C. A consensus four-star recruit, Lewis considered Texas, Miami and Kentucky, and was previously committed to Florida.