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» Probabilistic algorithms for computing resultants
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152
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ICIP
2003
IEEE
15 years 9 months ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia
125
Voted
NAACL
2007
15 years 5 months ago
Probabilistic Generation of Weather Forecast Texts
This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — i...
Anja Belz
IJCAI
2001
15 years 5 months ago
IBAL: A Probabilistic Rational Programming Language
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
Avi Pfeffer
NIPS
2000
15 years 5 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng
164
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002