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EMMCVPR
1999
Springer
15 years 10 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
JMLR
2010
152views more  JMLR 2010»
15 years 1 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon
ARTCOM
2009
IEEE
16 years 1 months ago
An Efficient Bidirectional Frame Prediction Using Particle Swarm Optimization Technique
—This paper presents a Novel Bidirectional motion estimation technique, which is based on the Particle swarm optimization algorithm. Particle swarm optimization (PSO) is a popula...
D. Ranganadham, Pavan Kumar Gorpuni
AICT
2006
IEEE
129views Communications» more  AICT 2006»
15 years 10 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
TIP
2008
126views more  TIP 2008»
15 years 6 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld