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» Count-As Conditionals, Classification and Context
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ECAI
2006
Springer
13 years 6 months ago
Count-As Conditionals, Classification and Context
Abstract. Searle represents constitutive norms as count-as conditionals, written as `X counts as Y in context C'. Grossi et al. study a class of these conditionals as `in cont...
Guido Boella, Leendert W. N. van der Torre
CHI
2007
ACM
14 years 5 months ago
Context & usability testing: user-modeled information presentation in easy and difficult driving conditions
A 2x2 enhanced Wizard-of-Oz experiment (N = 32) was conducted to compare two different approaches to presenting information to drivers in easy and difficult driving conditions. Da...
Jiang Hu, Andi Winterboer, Clifford Nass, Johanna ...
ICPR
2006
IEEE
14 years 6 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICCV
2005
IEEE
14 years 6 months ago
A Hierarchical Field Framework for Unified Context-Based Classification
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
Sanjiv Kumar, Martial Hebert
CVPR
2005
IEEE
14 years 7 months ago
Diagram Structure Recognition by Bayesian Conditional Random Fields
Hand-drawn diagrams present a complex recognition problem. Elements of the diagram are often individually ambiguous, and require context to be interpreted. We present a recognitio...
Yuan (Alan) Qi, Martin Szummer, Thomas P. Minka