An Impact of PCA-Mixture Models and Different Similarity Distance Measure Techniques to Identify Latent Image Features for Object Categorization.
K. MahanteshV. N. Manjunath AradhyaC. NaveenaPublished in: SIRS (2014)
Keyphrases
- distance measure
- mixture model
- object categorization
- object categories
- image features
- generative model
- object recognition
- similarity measure
- euclidean distance
- visual words
- principal component analysis
- gaussian mixture model
- object classes
- probabilistic model
- texture features
- em algorithm
- distance function
- unsupervised learning
- object detection
- expectation maximization
- dimensionality reduction
- model selection
- distance metric
- maximum likelihood
- probability density function
- latent variables
- feature vectors
- covariance matrix
- discriminative learning
- image representation
- image classification
- image matching
- keypoints
- linear discriminant analysis
- face images
- prior knowledge
- image annotation
- high dimensional
- face recognition
- bag of features
- information retrieval
- data sets