A computer’s ability to accurately classify objects in images is a fundamental research focus in computer vision. Current methods of classification typically adopt a multiclass method, in which a detected object in an image is assigned a label from amongst a set of mutually exclusive labels. However, this does not capture the complexity of objects in the real world; For example, “husky”, “dog”, and “puppy” are not mutually exclusive, but while “husky” is automatically a “dog”, it may or may not be a “puppy”.
In Large-Scale Object Classification using Label Relation Graphs, University of Michigan Assistant Professor along with Google co-authors Nan Ding, , Andrea Frome, , , Yuan Li, , and introduce Hierarchy and Exclusion (HEX) graphs, a new formalism allowing flexible specification of relations between labels applied to objects in images.
Using prior knowledge about semantic label relations, the HEX graph formalism allows a “flexible specification of relations between labels applied to the same object: (1) mutual exclusion (e.g. an object cannot be dog and cat), (2) overlapping (e.g. a husky may or may not be a puppy and vice versa), and (3) subsumption (e.g. all huskies are dogs)”, providing a unified classification framework that generalizes existing models.
This work will be presented at the 2014 European Conference in Computer Vision (ECCV ‘14, http://goo.gl/DSOfeC), hosted in Zurich, Switzerland, September 6-12. To learn more, read the full paper at http://goo.gl/1O6RqT.
Last week, at the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN, http://goo.gl/KUSH7M), Google Software Engineer gave a keynote address outlining the systems aspects of Sibyl, a supervised machine learning system that is used for solving a variety of prediction challenges, such as YouTube video recommendations.
To learn how Sibyl is being used at Google to solve internet-scale problems while using reasonable resources, watch the video below.
The Authors Guild has argued that Google’s book-scanning project is copyright infringement on a massive scale, but the benefits of having millions of books digitized and searchable clearly outweighs the dangers of the potential infringement.
- PBCSystem / Network Admin, 2004 - present
- Georgia Institute of TechnologyMS Computer Science, 2014 - presentSpecialization: Machine Learning / Artificial Intelligence
- Florida Gulf Coast UniversityComputer Information Systems, 1997 - 2001
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