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91
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ACCV
2006
Springer
15 years 6 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
88
Voted
NIPS
2000
15 years 1 months ago
Sparse Representation for Gaussian Process Models
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
Lehel Csató, Manfred Opper
84
Voted
ICPR
2006
IEEE
16 years 1 months ago
A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment
To tackle the problem of increasing numbers of state transition parameters when the number of sensors increases, we present a probabilistic model together with several parsinomiou...
Dinh Q. Phung, Dung T. Tran
121
Voted
3DPVT
2004
IEEE
194views Visualization» more  3DPVT 2004»
15 years 4 months ago
Thickness Histogram and Statistical Harmonic Representation for 3D Model Retrieval
Similarity measuring is a key problem for 3D model retrieval. In this paper, we propose a novel shape descriptor "Thickness Histogram" (TH) by uniformly estimating thick...
Yi Liu, Jiantao Pu, Hongbin Zha, Weibin Liu, Yusuk...
104
Voted
ICVGIP
2008
15 years 2 months ago
Algebraic Splats Representation for Point Based Models
The primitives of point-based representations are independent but are rendered using surfels, which approximate the immediate neighborhood of each point linearly. A large number o...
Naveen Kumar Bolla, P. J. Narayanan