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For the Inventor, By the Inventor

Cambridge, United Kingdom

Jamie Shotton

USPTO Granted Patents = 13 

Average Co-Inventor Count = 4.3

ph-index = 8

Forward Citations = 196(Granted Patents)


Location History:

  • Oxford, GB (2009 - 2010)
  • Cambridge, GB (2010 - 2023)

Company Filing History:

goldMedal13 out of 54,719 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2009-2023

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13 patents (USPTO):Explore Patents
1. 11675195 - Alignment of 3D representations for hologram/avatar control (2023-06-13),
2. 9171264 - Parallel processing machine learning decision tree training (2015-10-27),
3. 8903167 - Synthesizing training samples for object recognition (2014-12-02),
4. 8660303 - Detection of body and props (2014-02-25),
5. 8611607 - Multiple centroid condensation of probability distribution clouds (2013-12-17),
6. 8543517 - Distributed decision tree training (2013-09-24),
7. 8488888 - Classification of posture states (2013-07-16),
8. 8379919 - Multiple centroid condensation of probability distribution clouds (2013-02-19),
9. 8213680 - Proxy training data for human body tracking (2012-07-03),
10. 7912288 - Object detection and recognition system (2011-03-22),
11. 7840059 - Object recognition using textons and shape filters (2010-11-23),
12. 7809183 - Gaze manipulation (2010-10-05),
13. 7570803 - Virtual camera translation (2009-08-04),

Title: Jamie Shotton - Innovator from Cambridge, GB

Introduction: Jamie Shotton is a pioneering inventor based in Cambridge, GB, known for her groundbreaking work in the field of computer vision and machine learning.

Latest Patents: Jamie Shotton holds several patents related to advanced image recognition technologies and artificial intelligence systems, revolutionizing the way machines perceive and interact with the world.

Career Highlights: With a background in computer science and a Ph.D. in machine learning, Jamie Shotton has made significant contributions to the development of cutting-edge technologies that are shaping the future of various industries.

Collaborations: Throughout her career, Jamie Shotton has collaborated with leading research institutions, tech companies, and academic experts to push the boundaries of innovation in computer vision and AI.

Conclusion: Jamie Shotton's dedication to pushing the limits of technology and her passion for creating solutions that have a real-world impact make her a standout figure in the world of inventions and innovations.

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