Food Texture Classification Using Magnetic Sensor and Principal Component Analysis.
Hiroyuki NakamotoDaisuke NishikuboShuhei OkadaFutoshi KobayashiFumio KojimaPublished in: CMCSN (2016)
Keyphrases
- principal component analysis
- magneto optic
- dimensionality reduction
- principal components
- magnetic field
- sensor networks
- texture classification
- low dimensional
- dimension reduction
- sensor data
- face recognition
- independent component analysis
- linear discriminant analysis
- discriminant analysis
- face images
- feature extraction
- multi sensor
- neural network
- covariance matrix
- sensory data
- data acquisition
- solid state
- singular value decomposition
- real time
- feature space
- multiscale
- computer vision
- texture analysis
- image analysis
- data streams
- lower dimensional
- genetic algorithm
- dimension reduction methods
- data sets