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» Learning a Classification Model for Segmentation
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ICML
2005
IEEE
16 years 5 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
CHI
2009
ACM
16 years 5 months ago
WIIS: multimodal simulation for exploring the world beyond visual sense
This paper describes a pilot study of a computer simulation called WIIS, which is designed to extend students' learning experience of the sizes of the objects beyond human vi...
Minyoung Song, Chris Quintana
ICPR
2006
IEEE
16 years 6 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
ECML
2006
Springer
15 years 8 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
143
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SCVMA
2004
Springer
15 years 10 months ago
2D Motion Description and Contextual Motion Analysis: Issues and New Models
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...
Patrick Bouthemy