Image classification based on a multiresolution two dimensional hidden Markov model

Engineering

• Multiscale 100%
• Image Classification 100%
• Two Dimensional 100%
• Feature Vector 100%
• State Process 50%
• Optimal Set 50%
• EM Algorithm 50%
• Maximum Likelihood 50%
• Classification Algorithm 50%
• Maximum a Posteriori 50%
• Posteriori Probability 50%

Computer Science

• Feature Vector 100%
• Speed-up 50%
• Approximation (Algorithm) 50%
• maximum-likelihood 50%
• Image Classification 50%
• Classification Algorithm 50%
• Posteriori Probability 50%
• Context Information 50%
• Process State 50%

Keyphrases

• Feasible Computations 50%
• Multi-scale Context Information 50%
• Suboptimal Algorithms 50%