International Journal of Computer Vision
Computational geometry: a retrospective
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
An Evaluation of Intrinsic Dimensionality Estimators
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'
IEEE Transactions on Knowledge and Data Engineering
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
A Probabilistic Spell for the Curse of Dimensionality
ALENEX '01 Revised Papers from the Third International Workshop on Algorithm Engineering and Experimentation
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Locality-sensitive hashing scheme based on p-stable distributions
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
Intrinsic dimensionality estimation of submanifolds in Rd
ICML '05 Proceedings of the 22nd international conference on Machine learning
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Geodesic entropic graphs for dimension and entropy estimation in manifold learning
IEEE Transactions on Signal Processing
Comparative study of global color and texture descriptors for web image retrieval
Journal of Visual Communication and Image Representation
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A study on properties of data sets representing public domain audio and visual content and their relation to their indexability is presented. Data analysis considers the pair-wise distance distributions and various techniques to estimate the true intrinsic dimensionality of the studied data. One own alternative to dimensionality estimation is also presented. These results are contrasted with the indexability results gathered using various indexing techniques.