Results 11 to 20 of about 24,544,958 (149)

Multi-View Representation Learning in Computer Vision

Representations of data obtained from deep neural networks automatically encode structures in a data distribution that are helpful for solving arbitrary downstream tasks like classification, retrieval, etc.
A Chaudhuri (7758527)
core   +6 more sources

Multi-view dreaming: multi-view world model with contrastive learning

, 2023
In this paper, we propose Multi-View Dreaming, a novel reinforcement learning agent for integrated recognition and control from multi-view observations by extending Dreaming.
Tadahiro Taniguchi (4953358), Masashi Okada (171875), Akira Kinose (17132063), Ryo Okumura (5865698)   +3 more
core   +1 more source

Contrastive and attentive graph learning for multi-view clustering

, 2022
Graph-based multi-view clustering aims to take advantage of multiple view graph information to provide clustering solutions. The consistency constraint of multiple views is the key of multi-view graph clustering.
Li, Lin, Liu, Peiyu, Tao, Xiaohui, Wang, Peipei, Wang, Ru   +4 more
core   +1 more source

Learning in multi-agent systems [PDF]

, 2001
In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as ...
Alonso, E., Alonso, Eduardo, d'Inverno, M., Alonso, E, Kudenko, Daniel, Noble, Jason, Kudenko, D, Luck, M, Luck, Michael, Kudenko, D., D'Inverno, M, Noble, J, Luck, M., Noble, J., d'Inverno, Mark   +14 more
core   +1 more source

Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation

IET Computer Vision, 2021
In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when new instances rise incrementally.
Liang Zhao, Tao Yang, Jie Zhang, Zhikui Chen   +3 more
doaj   +1 more source

Multi-View Representation Learning via Dual Optimal Transportation

IEEE Access, 2021
Recently, multi-view representation learning has gained rapid growth in various fields. Most of previous multi-view learning methods rely on strong notions of distances that often provide no useful gradients in deep network training, which greatly ...
Peng Li, Jing Gao, Bin Zhai, Jianing Zhang, Zhikui Chen   +4 more
doaj   +1 more source

Low‐rank constrained weighted discriminative regression for multi‐view feature learning

CAAI Transactions on Intelligence Technology, 2021
In recent years, multi‐view learning has attracted much attention in the fields of data mining, knowledge discovery and machine learning, and been widely used in classification, clustering and information retrieval, and so forth. A new supervised feature
Chao Zhang, Huaxiong Li
doaj   +1 more source

Implicit Weight Learning for Multi-View Clustering

, 2023
Exploiting different representations, or views, of the same object for better clustering has become very popular these days, which is conventionally called multi-view clustering.
Feiping Nie, Shaojun Shi, Jing Li, Li, J, Shi, S, Nie, F, Li, X, Xuelong Li   +7 more
core   +1 more source

Multi‐view learning for benign epilepsy with centrotemporal spikes

IET Computer Vision, 2019
Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan, Ling Liu, Sunitha Basodi, Yi Pan   +3 more
doaj   +1 more source

Multi-view clustering via global-view graph learning.

PLoS ONE
Multiview clustering aims to improve clustering performance by exploring multiple representations of data and has become an important research direction. Meanwhile, graph-based methods have been extensively studied and have shown promising performance in
Qin Li, Geng Yang
doaj   +2 more sources