OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings.
Sunipa DevTao LiJeff M. PhillipsVivek SrikumarPublished in: CoRR (2020)
Keyphrases
- computer vision
- low dimensional
- camera calibration
- high dimensional data
- dimensionality reduction
- hilbert space
- manifold learning
- pattern recognition
- co occurrence
- high dimensional
- vector space
- subspace learning
- linear subspace
- principal component analysis
- n gram
- euclidean space
- stereo images
- subspace clustering
- multibaseline stereo
- related words
- feature space
- word recognition
- lower dimensional
- error correction
- sentence level
- word sense disambiguation
- linear space
- principal components
- data points
- image rectification
- nearest neighbor