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ICASSP
2011
IEEE
13 years 16 days ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ICRA
2009
IEEE
178views Robotics» more  ICRA 2009»
14 years 3 months ago
Camera self-calibration for sequential Bayesian structure from motion
— Computer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera’s internal parameters from an image sequence without any know...
Javier Civera, Diana R. Bueno, Andrew J. Davison, ...
BMVC
2001
13 years 11 months ago
A Fourier Approach to 3D Local Feature Estimation from Volume Data
This paper describes an estimation and representation method for object structure in 3D image data. A windowed Fourier transform is used to estimate the parameters of 3D local str...
Abhir Bhalerao, Roland Wilson
ICCV
2003
IEEE
14 years 10 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICML
2009
IEEE
14 years 9 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead