Learning and Soft Computing with Support Vector Machines (SVM) and RBF NNs Pose Classification of Car Occupant Using Stereovision and Support Vector Machines.
Min-Soo JangYong-Guk KimHyun-Gu LeeByung-Joo LeeSoek-Joo LeeGwi-Tae ParkPublished in: KES (2004)
Keyphrases
- support vector
- learning machines
- soft computing
- support vector machine svm
- support vector machine
- large margin classifiers
- radial basis function
- stereo vision
- svm classifier
- kernel function
- generalization ability
- standard svm
- support vectors
- neural network
- rbf kernel
- fuzzy logic
- pattern recognition
- radial basis function neural network
- learning paradigms
- artificial neural networks
- feature selection
- knn
- kernel methods
- computational intelligence
- rbf neural network
- svm classification
- training set
- feature vectors
- reinforcement learning
- feature space
- multi layer perceptron
- decision making
- binary classification
- intelligent systems
- fuzzy sets
- dynamic programming
- genetic algorithm
- maximum margin
- evolutionary computation
- data sets
- hybrid intelligent systems
- search space