ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.00470
  4. Cited By
Dimensionality reduction to maximize prediction generalization
  capability
v1v2 (latest)

Dimensionality reduction to maximize prediction generalization capability

1 March 2020
Takuya Isomura
Taro Toyoizumi
ArXiv (abs)PDFHTML

Papers citing "Dimensionality reduction to maximize prediction generalization capability"

5 / 5 papers shown
Title
Through-the-Wall Radar Human Activity Micro-Doppler Signature
  Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model
Through-the-Wall Radar Human Activity Micro-Doppler Signature Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model
Xiaopeng Yang
Weicheng Gao
X. Qu
Zeyu Ma
Hao Zhang
41
3
0
22 Aug 2024
Inductive Global and Local Manifold Approximation and Projection
Inductive Global and Local Manifold Approximation and Projection
Jungeum Kim
Tianlin Li
95
1
0
12 Jun 2024
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in
  One Model
Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Hao Wu
Yuxuan Liang
Wei Xiong
Zhengyang Zhou
Wei-Ming Huang
Shilong Wang
Kun Wang
AI4TS
111
10
0
13 Dec 2023
Quadratic speedup of global search using a biased crossover of two good
  solutions
Quadratic speedup of global search using a biased crossover of two good solutions
Takuya Isomura
20
0
0
15 Nov 2021
On the achievability of blind source separation for high-dimensional
  nonlinear source mixtures
On the achievability of blind source separation for high-dimensional nonlinear source mixtures
Takuya Isomura
Taro Toyoizumi
83
12
0
02 Aug 2018
1