Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...
IEEE

Information geometry on extendable hierarchical large scale neural network model

Abstract: In this paper, an extendable hierarchical large scale neural network model is developed based on the theoretical analysis of information geometry. In a hierarchical set of systems, a lower ...
Nature

Natural Geometry; an Introduction to the Logical Study of Mathematics, for the Use of Schools and Technical Classes, with Explanatory Models

THIS is a good elementary text-book, founded on the work by M. E. Lagout (“Takimetry”), which we have already noticed (NATURE, vol. xvi. p. 226). The ground covered by the work before us is not quite ...
JSTOR Daily

Exploring the geometry, topology and morphology of large scale structure using Minkowski functionals

Modern redshift surveys such as the 2 degree field Galaxy Redshift Survey (2dFGRS) and the Sloan Digital Sky Survey (SDSS) reveal fully 3-dimensional distribution of 105–6 galaxies over a large ...
IEEE

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding

Abstract: Modern vision-language models (VLMs) develop patch embedding and convolution backbone within vector space, especially Euclidean ones, at the very founding. When expanding VLMs to a galaxy ...
Business Wire

Scale AI to Enable Enterprises to Customize Large Language Models and Build Robust Generative AI Applications on Microsoft Azure

SAN FRANCISCO & REDMOND, Wash.--(BUSINESS WIRE)--Scale AI, the data engine that powers the most advanced AI applications, today announced a collaboration with Microsoft at Microsoft Ignite to deliver ...