A flexible, extensible software framework for model compression based on the LC algorithm.
Yerlan IdelbayevMiguel Á. Carreira-PerpiñánPublished in: CoRR (2020)
Keyphrases
- probabilistic model
- mathematical model
- cost function
- objective function
- bayesian framework
- theoretical analysis
- recognition algorithm
- conceptual framework
- final result
- selection algorithm
- inference process
- retrieval framework
- algorithm employs
- np hard
- preprocessing
- em algorithm
- optimization algorithm
- computational model
- theoretical framework
- learning algorithm
- filtering algorithm
- probabilistic formulation
- conceptual model
- closed form
- similarity measure
- optimal solution
- dynamic programming
- estimation algorithm
- observation model
- computational complexity
- simulated annealing
- optimization model
- tree structure
- software development
- expectation maximization
- data compression
- parameter estimation
- detection algorithm
- process model
- input data
- software engineering
- kalman filter