Results 241 to 250 of about 134,390 (294)

Federated Multi-View Unsupervised Feature Selection via Bio-Inspired Hierarchical-Cognitive Tianji's Horse Racing Optimization and Tensor Learning. [PDF]

Biomimetics (Basel)
Cheng R, Sun Z, Qi K, Wu W, Xu L.
europepmc   +1 more source

A review of multi-omics integration techniques across five machine learning method families. [PDF]

Bioinform Adv
Olowolayemo A, Souag A, Sirlantzis K, Turner S, Wilson C.   +4 more
europepmc   +1 more source

GatorSC: multi-scale cell and gene graphs with mixture-of-experts fusion for single-cell transcriptomics. [PDF]

Brief Bioinform
Liu Y, Zhang Z, Qiu M, Wang S, Salim FD, Shen J, Chen T, Razzak I, Li F, Bian J.   +9 more
europepmc   +1 more source

Cross-modality representation and multi-sample integration of spatially resolved omics data. [PDF]

Brief Bioinform
Li Z, Cui X, Chen X, Gao Z, Liu Y, Pan Y, Chen S, Lv H, Zhai L, Jiang R.   +9 more
europepmc   +1 more source

scMagnifier: Resolving fine-grained cell subtypes via GRN-informed perturbations and consensus clustering. [PDF]

PLoS Comput Biol
He Z, Dong K.
europepmc   +1 more source

Multi-view Subspace Clustering [PDF]

2015 IEEE International Conference on Computer Vision (ICCV), 2015
For many computer vision applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is to find such underlying subspaces and cluster the data points correctly. In this paper, we propose a novel multi-view subspace clustering method. The proposed method performs clustering on the subspace representation of each view
Hongchang Gao, Feiping Nie 0001, Xuelong Li 0001, Heng Huang 0001   +3 more
openaire   +2 more sources

Reliable Multi-View Clustering [PDF]

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
With the advent of multi-view data, multi-view learning (MVL) has become an important research direction in machine learning. It is usually expected that multi-view algorithms can obtain better performance than that of merely using a single view.
Hong Tao, Chenping Hou, Xinwang Liu 0002, Tongliang Liu, Dongyun Yi, Jubo Zhu   +5 more
openaire   +2 more sources