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Use of nonparametric regression methods for developing a local stem form model
Norway spruce spline stem curve taper
2015/5/5
: A local mean stem curve of spruce was represented using regression splines. Abilities of smoothing spline
and P-spline to model the mean stem curve were evaluated using data of 85 carefully measur...
A Nonparametric Bayesian Approach to Acoustic Model Discovery
A Nonparametric Bayesian Approach Acoustic Model Discovery
2014/11/27
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the speec...
Spatial-Temporal Nonparametric Background Subtraction in Dynamic Scenes
Spatial-Temporal Nonparametric Background Subtraction Dynamic Scenes
2010/12/20
Traditional background subtraction methods model only temporal variation of each pixel. However, there is also spatial variation in real word due to dynamic background such as
waving trees, spouting ...
SPATIAL-TEMPORAL NONPARAMETRIC BACKGROUND SUBTRACTION IN DYNAMIC SCENES
Background modeling moving objects detection Gaussian mixture model kernel density estimation
2013/7/16
Traditional background subtraction methods model only temporal variation of each pixel. However, there is also spatial variation in real word due to dynamic background such as waving trees, spouting f...
Nonparametric Background Generation
Background subtraction Background generation Mean shift
2010/12/16
A novel background generation method based on nonparametric background model
is presented for background subtraction. We introduce a new model, named as
effect components description (ECD), to model...
A novel background generation method based on nonparametric background model is presented for background subtraction. We introduce a new model, named as effect components description (ECD), to model t...