890 search results - page 48 / 178 » Learning a Generative Model for Structural Representations |
171
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
100
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JMLR
2006
14 years 11 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
NIPS
2007
15 years 1 months ago
2007
Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not exp...
122
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EMNLP
2011
13 years 11 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
108
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GMAI
2006
IEEE
15 years 5 months ago
2006
IEEE
This paper describes a method allowing the automatic multi-texturing and simulation of surface imperfections based on a cellular network. In this representation, networks of conne...