Object manifold learning with action features for active tactile object recognition.
Daisuke TanakaTakamitsu MatsubaraKentaro IchienKenji SugimotoPublished in: IROS (2014)
Keyphrases
- manifold learning
- object recognition
- feature extraction
- d objects
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- image features
- feature space
- keypoints
- dimension reduction
- feature vectors
- object representation
- subspace learning
- high dimensional data
- sparse representation
- semi supervised
- high dimensional
- neural network
- data sets
- locally linear embedding
- human actions
- high dimensionality
- action recognition
- image representation
- computer vision
- image classification
- video sequences