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–Neural Information Processing Systems
First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper proposes to extend the fields of experts model to a multiscale image representation, and using a combination of a binary latent variable model and a gray-level image model. The model is applied to images of contours embedded in noise, and black/white drawings embedded in noise, and the results show that the model can do a reasonable job at recovering the underlying binary process. The overall idea here is useful and interesting - i.e., leveraging a multiscale model to capture long-range in addition to short-range structure in images. It is an approach long overdue in image models, which are often applied only to local patches at the highest-grain pixel level.
Neural Information Processing Systems
Oct-3-2025, 02:33:55 GMT
- Country:
- North America > Canada > Quebec > Montreal (0.05)
- Genre:
- Research Report > New Finding (0.35)
- Technology: