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» Using Random Forests in the Structured Language Model
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NAACL
2001
15 years 6 months ago
A Probabilistic Earley Parser as a Psycholinguistic Model
In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options...
John Hale
HT
1991
ACM
15 years 8 months ago
Implementing Hypertext Database Relationships through Aggregations and Exceptions
In order to combine hypertext with database facilities, we show how to extract an effective storage structure from given instance relationships. The schema of the structure recogn...
Yoshinori Hara, Arthur M. Keller, Gio Wiederhold
CVPR
2010
IEEE
16 years 1 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
ICPR
2002
IEEE
16 years 6 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang
UAI
2001
15 years 6 months ago
Instrumentality Tests Revisited
An instrument is a random variable that is uncorrelated with certain (unobserved) error terms and, thus, allows the identification of structural parameters in linear models. In no...
Blai Bonet