„Random Subspace“

Suchergebnisse

1.000+ Treffer

• Face recognition based on random subspace method and tensor subspace analysis
  Zhu, Yulian ; Xue, Jing
• Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam)
  Pham, Binh Thai ; Tien Bui, Dieu ; Pham, Ha Viet ; Le, Hung Quoc ; Prakash, Indra ; Dholakia, M. B.
• Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
  Zhang, Bailing ; Pham, Tuan D.
• Content-based image retrieval using integrated features and multi-subspace randomization and collaboration
  Kenchappa, Yashaswini Doddamane ; Kwadiki, Karibasappa
• Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers
  Zhao, Chihang H. ; Zhang, Bailing L. ; Zhang, Xiaozheng Z. ; Zhao, Sanqiang Q. ; Li, Hanxi X.
• A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
  Hong, Haoyuan ; Liu, Junzhi ; Zhu, A-Xing ; Shahabi, Himan ; Pham, Binh Thai ; Chen, Wei ; Pradhan, Biswajeet ; Bui, Dieu Tien
• Nonlinear frequency response curves estimation and stability analysis of randomly excited systems in the subspace framework
  Anastasio, D. ; Marchesiello, S.
• Greedy and randomized versions of the multiplicative Schwarz method
  Griebel, Michael ; Oswald, Peter 2011 Universitäts- und Landesbibliothek Bonn
• Schwarz iterative methods: Infinite space splittings
  Griebel, Michael ; Oswald, Peter 2014 Universitäts- und Landesbibliothek Bonn
• Stochastic subspace correction methods and fault tolerance
  Griebel, Michael ; Oswald, Peter 2018 Universitäts- und Landesbibliothek Bonn
• Stochastic subspace correction in Hilbert space
  Griebel, Michael ; Oswald, Peter 2017 Universitäts- und Landesbibliothek Bonn
• Erratum to: Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers
  Zhao, C. H. ; Zhang, B. L. ; Zhang, X. Z. ; Zhao, S. Q. ; Li, H. X.
• Optimal Oblivious Subspace Embeddings with Near-Optimal Sparsity
  Chenakkod, Shabarish ; Dereziński, Michał ; Dong, Xiaoyu 2025 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Application of an ensemble learning model based on random subspace and a J48 decision tree for landslide susceptibility mapping: a case study for Qingchuan, Sichuan, China
  Li, Yangchun ; Lin, Feikai ; Luo, Xiangang ; Zhu, Shuang ; Li, Jiang ; Xu, Zhanya ; Liu, Xiuwei ; Luo, Shungen ; Huo, Guangjie ; Peng, Liangsheng ; Feng, Haiping
• ??_p-Spread and Restricted Isometry Properties of Sparse Random Matrices
  Guruswami, Venkatesan ; Manohar, Peter ; Mosheiff, Jonathan 2022 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Exact Recovery Algorithm for Planted Bipartite Graph in Semi-Random Graphs
  Kumar, Akash ; Louis, Anand ; Paul, Rameesh 2022 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Towards Stronger Counterexamples to the Log-Approximate-Rank Conjecture
  Chattopadhyay, Arkadev ; Garg, Ankit ; Sherif, Suhail 2021 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Zeroth-Order Random Subspace Algorithm for Non-smooth Convex Optimization
  Nozawa, Ryota ; Poirion, Pierre-Louis ; Takeda, Akiko
• Cascading k -means with Ensemble Learning: Enhanced Categorization of Diabetic Data
  Karegowda, Asha Gowda ; Jayaram, M. A. ; Manjunath, A. S.
• Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
  Vrugt,, J. A. ; ter Braak,, C.J.F. ; Diks,, C.G.H. ; Robinson,, B. A. ; Hyman,, J. M. ; Higdon,, D.