This paper investigates ordinal image description for
invariant feature correspondence. Ordinal description is
a meta-technique which considers image measurements in
terms of th...
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...
Abstract. Estimating statistical significance of detected differences between two groups of medical scans is a challenging problem due to the high dimensionality of the data and th...
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
Modern database applications like geographic information systems, multimedia databases, and digital libraries dealing with huge volumes of high dimensional data, make use of multi...