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» Optimal Sub-Shape Models by Minimum Description Length
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IJON
2011
186views more  IJON 2011»
12 years 9 months ago
Discriminative structure selection method of Gaussian Mixture Models with its application to handwritten digit recognition
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
Xuefeng Chen, Xiabi Liu, Yunde Jia
CVPR
2010
IEEE
13 years 11 months ago
Minimum length in the tangent bundle as a model for curve completion
The phenomenon of visual curve completion, where the visual system completes the missing part (e.g., due to occlusion) between two contour fragments, is a major problem in percept...
Guy Ben-Yosef, Ohad Ben Shahar
ECCV
2002
Springer
14 years 8 months ago
3D Statistical Shape Models Using Direct Optimisation of Description Length
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
Rhodri H. Davies, Carole J. Twining, Timothy F. Co...
TCOM
2008
82views more  TCOM 2008»
13 years 6 months ago
Detecting the number of signals in wireless DS-CDMA networks
In this paper, a new information theoretic algorithm is proposed for signal enumeration in DS-CDMA networks. The approach is based on the predictive description length (PDL) of the...
Shahrokh Valaee, Shahram Shahbazpanahi
TCOM
2011
155views more  TCOM 2011»
13 years 1 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn