Lexicon-based word recognition using support vector machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capability. However, NN does not guarantee good generalization due to Empirical Risk minimization (ERM) principle that it uses. In...
Saved in:
Main Authors: | Ahmad A.R., Viard-Gaudin C., Khalid M. |
---|---|
Other Authors: | 35589598800 |
Format: | Conference paper |
Published: |
2023
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Online handwriting recognition using support vector machine
by: Ahmad A.R., et al.
Published: (2023) -
Optimal sizing and location of distributed generation for loss minimization using ant colony optimization
by: Wan Mohammad Syahir Wan Abdillah
Published: (2023) -
Hybrid of HMM and Fuzzy Logic for handwritten character recognition
by: Suliman A., et al.
Published: (2023) -
Optimal Location of Electric Vehicle Fast Charging Station Using Grasshopper Optimization Algorithm
by: Yasin Z.M., et al.
Published: (2024) -
Kernel methods and support vector machines for handwriting recognition
by: Ahmad A.R., et al.
Published: (2023)