Results 81 to 90 of about 24,544,958 (149)

Multi-Class Learning: Simplex Coding And Relaxation Error [PDF]

, 2011
We study multi-category classification in the framework of computational learning theory. We show how a relaxation approach, which is commonly used in binary classification, can be generalized to the multi-class setting.
Slotine, Jean-Jacques E., Jean-jacques E. Slotine, Mroueh, Youssef, Youssef Mroueh, Tomaso Poggio, Poggio, Tomaso, Rosasco, Lorenzo, Lorenzo Rosasco   +7 more
core  

Multi-view clustering via consensus coefficient matrix and separate segmentation matrices

Journal of Information and Telecommunication
In recent years, achieving data from different sources and different views has caused to have many multi-view data sets. Among multi-view learning methods, multi-view clustering has been considered as an appropriate method to analyse these data by many ...
Fatemeh Sadjadi, Mina Jamshidi, Amir Asadi   +2 more
doaj   +1 more source

Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
In recent years, multi-view multi-label learning has garnered considerable attention due to its broad application prospects, such as bioinformatics and medical imaging.
Yishan Jiang, Lian Zhao, Zhixian Jiang, Yinghao Ye, Xiaohuan Lu   +4 more
doaj   +1 more source

Dynamic graph-guided imputation network for partial multi-view incomplete multi-label classification

Journal of King Saud University: Computer and Information Sciences
In practice, multi-view multi-label classification often faces the dual challenge of missing views and labels. Existing methods typically avoid redundant computations by simply masking missing items, which neither recovers missing view information nor ...
Xingang Mao, Yang Xu
doaj   +1 more source

Using Variational Multi-view Learning for Classification of Grocery Items. [PDF]

Patterns (N Y), 2020
Klasson M, Zhang C, Kjellström H.
europepmc   +1 more source

Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter. [PDF]

Sensors (Basel), 2020
Chen X, Chen H, Wu H, Huang Y, Yang Y, Zhang W, Xiong P.   +6 more
europepmc   +1 more source

Reliable Conflictive Multi-View Learning [PDF]

Multi-view learning aims to combine multiple features to achieve more comprehensive descriptions of data. Most previous works assume that multiple views are strictly aligned.
Zhao, Wei, Si, Jiajun, Wu, Yue, Gao, Xiyue, Xu, Cai, Guan, Ziyu   +5 more
core   +1 more source

Dynamic Consistency-Aware Multi-View Learning with SAM3 for 3D Medical Image Segmentation. [PDF]

Sensors (Basel)
Chen X, Chen S.
europepmc   +1 more source

MVPHI: a multi-view learning framework for predicting complex microbial interactions. [PDF]

Sci Rep
Xie Y, Pan J, Li D, Wang Q, Sun Y, Wang S.   +5 more
europepmc   +1 more source

TPpred-CMvL: prediction of multi-functional therapeutic peptide using contrast multi-view learning. [PDF]

BMC Biol
Yan K, Xiang K, Chen Z, Chen S, Lu S, Liu B, Wang Y.   +6 more
europepmc   +1 more source