A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID.
Lucas Pascotti ValemVinicius Atsushi Sato KawaiVanessa Helena Pereira-FerreroDaniel Carlos Guimarães PedronettePublished in: ICIP (2022)
Keyphrases
- manifold learning
- rank correlation
- information retrieval evaluation
- image retrieval
- correlation coefficient
- semi supervised
- low dimensional
- dimensionality reduction
- high dimensional
- nonlinear dimensionality reduction
- dimension reduction
- sparse representation
- feature space
- high dimensional data
- test collection
- feature extraction
- low dimensional manifolds
- manifold structure
- graded relevance
- principal components
- knn
- singular value decomposition
- relevance feedback
- similarity measure
- learning algorithm
- data sets