Similarity search in high-dimensional vector spaces has been the subject of substantial research, motivated in part by the need to provide query support for images and other complex data types. The paper VLDB 1998 paper "Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces" analyses why this search problem can be so tricky, and shows with intuitiv...

A good measure of similarity between data points is crucial to many tasks in machine learning. Similarity and metric learning methods learn such measures automatically from data, but they do not scale well respect to the dimensionality of the data. In this paper, we propose a method that can learn efficiently similarity measure from highdimensional sparse data. The core idea is to parameterize ...

Boundary Layer Flow past a stretching surface with constant wall temperature, of a nanofluid is studied for heat transfer characteristics. The system of partial differential equations describing such a flow is subjected to similarity transformations gives rise to a boundary value problem involving a system of ordinary differential equations. This system is solved by a shooting method. Effect of...

Wythoff’s game as a classic combinatorial has been well studied. In this paper, we focus on [Formula: see text]-dimensional game; that is the with text] heaps. We characterize their text]-positions explicitly and show they have self-similar structures. particular, set of all 3-dimensional generates well-known fractal — Sierpinski sponge.