The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model.
Gregory CanalMarissa ConnorJihui JinNamrata NadagoudaMatthew R. O'ShaughnessyChristopher J. RozellMark A. DavenportPublished in: ICASSP (2020)
Keyphrases
- probabilistic model
- mathematical model
- input data
- cost function
- algorithm employs
- objective function
- estimation algorithm
- recognition algorithm
- computational complexity
- selection algorithm
- posterior probability
- bayesian framework
- theoretical analysis
- bayesian formulation
- tree structure
- np hard
- optimization model
- similarity measure
- bayesian model
- closed form
- kalman filter
- final result
- segmentation algorithm
- detection algorithm
- em algorithm
- expectation maximization
- learning algorithm
- dynamic programming
- parameter estimation
- energy function
- matching algorithm
- feature extraction
- k means
- genetic algorithm
- localization algorithm
- bayesian networks
- reinforcement learning
- preprocessing
- high dimensional
- search space
- parameter space
- prior information
- probability distribution
- simulated annealing
- classification algorithm
- neural network