Word-parallel coprocessor architecture for digital nearest Euclidean distance search.
Toshinobu AkazawaSeiryu SasakiHans Jürgen MattauschPublished in: ESSCIRC (2013)
Keyphrases
- euclidean distance
- distance measure
- similarity measurement
- similarity measure
- search algorithm
- distance metric
- dimensionality reduction
- distance function
- dynamic time warping
- euclidean space
- feature vectors
- mahalanobis distance
- manhattan distance
- high dimensional spaces
- instruction set
- data points
- massively parallel
- search methods
- search space
- nearest neighbour
- cosine distance
- shared memory
- euclidean norm
- data sets
- angular error
- computer architecture
- nearest neighbor search
- co occurrence
- principal component analysis
- pattern recognition
- image processing
- neural network