Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by N. Ye. Kulishova
Feature Vector Generation for the Facial Expression Recognition Using Neo-Fuzzy System
Radio Electronics, Computer Science, Control
Related publications
Facial Expression Recognition Using Three-Stage Support Vector Machines
Visual Computing for Industry, Biomedicine, and Art
Intelligent Facial Expression Recognition Using Particle Swarm Optimization Based Feature Selection
A Real-Time System for Facial Expression Recognition Using Support Vector Machines and K-Nearest Neighbor Classifier
International Journal of Computer Applications
Performance Analysis of Feature Extraction Techniques for Facial Expression Recognition
International Journal of Computer Applications
Facial Expression Recognition Using Static Facial Images
International Journal of Scientific Research in Computer Science and Engineering
Fuzzy Integral-Based Neural Network Ensemble for Facial Expression Recognition
Facial Image Feature Extraction Using Support Vector Machines
Facial Expression Recognition Based on Perceived Facial Images and Local Feature Matching
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Facial Expression Recognition System for User Preference Extraction
Advances in Intelligent Systems and Computing
Control
Systems Engineering
Computer Science
