英国爱丁堡大学(University of Edinburgh)Chris Williams提供的博士生招生信息

Chris Williams应该是计算机视觉领域的大牛吧,在主页上看到了他近期的招博计划,这是其中之一:


Unsupervised learning for hierarchical image modelling

Supervisor: Chris Williams

Develop models for shapes and appearances of image regions and objects 

It is highly desirable to frame image understanding in terms of hierarchical generative probabilistic models. These allow top-down and bottom-up flows of information to take place, in order to provide a scene interpretation. Encoded within such a model would be knowledge at various levels, e.g. lower-level models of regions and boundaries, and at a higher level the shape and appearance of object classes, and their contextual relationships. Due to the difficulties in obtaining appropriate annotated data, such models should be learned in a largely unsupervised fashion from image data. Hinton's "deep learning" agenda is attractive here in that it provides an upgrade path from lower-level to higher-level regularities.


The specific PhD project would develop components that would fit into this framework; for example one might decompose an image into regions based on visual texture, and at a higher level model the typical shapes and appearances of co-occurring regions that arise from object classes.

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