Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval.
Pengcheng WuSteven C. H. HoiDuc Dung NguyenYing HePublished in: MMM (2) (2011)
Keyphrases
- kd trees
- distance metric learning
- nearest neighbor search
- image retrieval
- distance metric
- metric learning
- image classification
- image annotation
- semi supervised
- nearest neighbor
- feature space
- image database
- kd tree
- gender classification
- nonlinear dimensionality reduction
- data structure
- image representation
- high dimensional
- semidefinite programming
- visual features
- locality sensitive hashing
- space partitioning
- exhaustive search
- binary search trees
- low level features
- data points
- image content
- relevance feedback
- content based retrieval
- distance function
- index structure
- euclidean distance
- multi task
- active learning
- metric space
- pairwise