Results 21 to 30 of about 55,778 (240)

Equivariant extensions of maps [PDF]

open access: yesPacific Journal of Mathematics, 1973
This paper treats extension and retraction properties in the category *$/9 of compact metric spaces with periodic maps of a prime period p; the subspaces and maps in J^p are called equivariant subspaces and maps, respectively. The motivation of the paper is the following question: Let E be a Euclidean space and α: E X E-> E X E be the involution (x, y)
openaire   +4 more sources

Equivariant Phantom Maps

open access: yesPublications of the Research Institute for Mathematical Sciences, 1988
This paper contains a study of the characterization of the equivariant phantom maps by means of the equivariant localization and the equivariant completion. The equivariant integral approximation and the equivariant Miller-Zabrodsky theorem will be used to describe the homotopy set of the equivariant phantom maps by the equivariant cohomology groups.
Oda, Nobuyuki, Shitanda, Yoshimi
openaire   +2 more sources

Generalized Permutants and Graph GENEOs

open access: yesMachine Learning and Knowledge Extraction, 2023
This paper is part of a line of research devoted to developing a compositional and geometric theory of Group Equivariant Non-Expansive Operators (GENEOs) for Geometric Deep Learning. It has two objectives. The first objective is to generalize the notions
Faraz Ahmad   +2 more
doaj   +1 more source

The equivariant Hurewicz map [PDF]

open access: yesTransactions of the American Mathematical Society, 1992
Let G G be a compact Lie group, Y Y be a based G G -space, and V V be a G G -representation. If π V G ( Y ) \pi _V^G(Y) is the equivariant homotopy group of Y Y in ...
openaire   +2 more sources

Multi-Level Rotational Equivariant Object Detection Network Based on BEV Fusion [PDF]

open access: yesJisuanji gongcheng
With the development of autonomous driving systems, the detection of three-dimensional objects in road scenes has garnered widespread attention. However, most single-sensor or multi-sensor fusion-based object detection methods do not consider the ...
LIU Hongwei, SHAO Dongheng, YANG Jian, WEI Xian, LI Ke, YOU Xiong
doaj   +1 more source

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

open access: yesIEEE Access, 2020
Detection of surface material based on hyperspectral imaging (HSI) analysis is an important and challenging task in remote sensing. It is widely known that spectral-spatial data exploitation performs better than traditional spectral pixel-wise procedures.
Mercedes E. Paoletti   +3 more
doaj   +1 more source

Equivariant bordism of maps [PDF]

open access: yesTransactions of the American Mathematical Society, 1973
This note computes the bordism classification of equivariant maps between closed manifolds with action of a cyclic group of prime order.
openaire   +2 more sources

Conformally Equivariant Quantization - a Complete Classification [PDF]

open access: yes, 2011
Conformally equivariant quantization is a peculiar map between symbols of real weight $\delta$ and differential operators acting on tensor densities, whose real weights are designed by $\lambda$ and $\lambda+\delta$.
Michel, Jean-Philippe
core   +4 more sources

Wafer map failure pattern classification using geometric transformation-invariant convolutional neural network

open access: yesScientific Reports, 2023
Wafer map defect pattern classification is essential in semiconductor manufacturing processes for increasing production yield and quality by providing key root-cause information.
Iljoo Jeong   +5 more
doaj   +1 more source

RiDOP: A Rotation-Invariant Detector with Simple Oriented Proposals in Remote Sensing Images

open access: yesRemote Sensing, 2023
Compared with general object detection with horizontal bounding boxes in natural images, oriented object detection in remote sensing images is an active and challenging research topic as objects are usually displayed in arbitrary orientations.
Chongyang Wei   +7 more
doaj   +1 more source

Home - About - Disclaimer - Privacy