A scale invariant ranking function for learning-to-rank: a real-world use case.
Alessio PetrozzielloXiaoke LiuChristian SommereggerPublished in: CoRR (2021)
Keyphrases
- ranking functions
- scale invariant
- learning to rank
- document retrieval
- keypoints
- ranking svm
- affine invariant
- natural images
- scale space
- ranking algorithm
- multiscale
- web search engines
- web search
- evaluation measures
- directly optimize
- supervised learning
- relevance judgments
- information retrieval
- texture images
- data mining
- loss function
- local binary pattern
- learning to rank algorithms
- feature set
- ranking models
- data sets
- image structure
- clickthrough data
- face recognition
- retrieval systems
- document collections
- input image
- training data