Login / Signup
Neural networks to estimate ML multi-class constrained conditional probability density functions.
Juan Ignacio Arribas
Jesús Cid-Sueiro
Tülay Adali
Aníbal R. Figueiras-Vidal
Published in:
IJCNN (1999)
Keyphrases
</>
multi class
probability density function
neural network
em algorithm
density function
maximum likelihood
probability distribution
expectation maximization
pairwise
support vector machine
kernel density estimation
density estimation
cost sensitive
binary classification
multi class classification
object detection
multi class classifier
mixture model
bayesian framework
class probabilities
pattern recognition
gaussian mixture model
statistical methods
binary classifiers
multiple classes
class conditional
distance function
nearest neighbor
feature space
base classifiers
higher order
knn
error correcting output codes
feature selection