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ISBI
2002
IEEE
15 years 2 months ago
Bayesian clustering methods for morphological analysis of MR images
Determining the relationship between structure (i.e. morphology) and function is a fundamental problem in brain research. In this paper we present a new framework based on Bayesia...
Hanchuan Peng, Edward Herskovits, Christos Davatzi...
PCM
2010
Springer
183views Multimedia» more  PCM 2010»
14 years 8 months ago
Fast H.264 Encoding Based on Statistical Learning
Abstract. In this paper, we propose an efficient video coding system that applies statistical learning methods to reduce the computational cost in H.264 encoder. The proposed metho...
Chen-Kuo Chiang, Shang-Hong Lai
CORR
2010
Springer
95views Education» more  CORR 2010»
14 years 10 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
INFSOF
2006
109views more  INFSOF 2006»
14 years 10 months ago
A systematic review of statistical power in software engineering experiments
Statistical power is an inherent part of empirical studies that employ significance testing and is essential for the planning of studies, for the interpretation of study results, ...
Tore Dybå, Vigdis By Kampenes, Dag I. K. Sj&...
COLING
2008
14 years 11 months ago
Phrasal Segmentation Models for Statistical Machine Translation
Phrasal segmentation models define a mapping from the words of a sentence to sequences of translatable phrases. We discuss the estimation of these models from large quantities of ...
Graeme W. Blackwood, Adrià de Gispert, Will...