Dimensionality Reduction and Reconstruction using Mirroring Neural Networks and Object Recognition based on Reduced Dimension Characteristic Vector
Dasika Ratna DeepthiSujeet KuchibhotlaK. EswaranPublished in: CoRR (2007)
Keyphrases
- dimensionality reduction
- object recognition
- neural network
- pattern recognition
- reduced dimensionality
- low dimensional
- data representation
- unsupervised learning
- computer vision
- principal component analysis
- high dimensionality
- high dimensional data
- feature vectors
- feature extraction
- linear discriminant analysis
- high dimensional
- artificial neural networks
- back propagation
- random projections
- genetic algorithm
- input space
- manifold learning
- neural network model
- pattern recognition and machine learning
- object detection
- image features
- sparse representation
- d objects
- fuzzy logic
- data points
- three dimensional
- feed forward
- structure preserving
- reconstruction error
- constrained search
- vector space
- feature space
- discrete tomography
- nonlinear dimensionality reduction
- neural nets
- feature detection
- object categories
- principal components
- image representation
- template matching
- singular value decomposition
- image reconstruction
- multilayer perceptron
- reconstruction method
- reconstruction process
- least squares
- linear dimensionality reduction
- visual object recognition
- self organizing maps