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HIS
2003
13 years 11 months ago
2003
Abstract. Categorization is a central task in cognitive science and artificial intelligence. Efficient reasoning about categories is becoming of great importance as intelligent a...
EMNLP
2007
13 years 11 months ago
2007
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
ICCV
2007
IEEE
14 years 12 months ago
2007
IEEE
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
ACL
2007
13 years 11 months ago
2007
This paper describes an incremental parser and an unsupervised learning algorithm for inducing this parser from plain text. The parser uses a representation for syntactic structur...
MVA
2007
13 years 11 months ago
2007
In this paper, we first generalize a recent statistical color image segmentation algorithm [5] to arbitrary graphs, and report its performance for 2D images, 3D meshes and volume...