Results 91 to 100 of about 2,954,755 (181)

Moving object detection via feature extraction and classification

Open Computer Science
Foreground segmentation (FS) plays a fundamental and important role in computer vision, but it remains a challenging task in dynamic backgrounds. The supervised method has achieved good results, but the generalization ability needs to be improved.
Li Yang
doaj   +1 more source

Node Classification in Networks via Simplicial Interactions

IEEE Transactions on Neural Networks and Learning Systems
In the node classification task, it is natural to presume that densely connected nodes tend to exhibit similar attributes. Given this, it is crucial to first define what constitutes a dense connection and to develop a reliable mathematical tool for assessing node cohesiveness.
Eunho Koo, Tongseok Lim
openaire   +3 more sources

Improving long‐tail classification via decoupling and regularisation

CAAI Transactions on Intelligence Technology
Real‐world data always exhibit an imbalanced and long‐tailed distribution, which leads to poor performance for neural network‐based classification. Existing methods mainly tackle this problem by reweighting the loss function or rebalancing the classifier.
Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu   +6 more
doaj   +1 more source

Classification via sequential testing

, 2004
The problem of generating the sequence of tests required to reach a diagnostic conclusion with minimum average cost, which is also known as test sequencing problem, is considered. The test sequencing problem is formulated as an optimal binary AND/OR decision tree construction problem, whose solution is known to be NP-complete. The problem can be solved
openaire  

NFEmbed: modeling nitrogenase activity via classification and regression with pretrained protein embeddings. [PDF]

Bioinform Adv
Nafi MMI, Mohaimin AA.
europepmc   +1 more source

IHRAS: Automated Medical Report Generation from Chest X-Rays via Classification, Segmentation, and LLMs. [PDF]

Bioengineering (Basel)
Rodrigues GAP, Serrano ALM, Bispo GD, Filho GPR, Gonçalves VP, Meneguette RI.   +5 more
europepmc   +1 more source

Foot Arch Classification via ML-based Image Classification

Computer-Aided Design and Applications, 2022
Wudhichart Sawangphol, Pilailuck Panphattarasap, Pisit Praiwattana, Jidapa Kraisangka, Thanapon Noraset, Danu Prommin   +5 more
openaire   +1 more source

Classification via spectral clustering

, 2010
Klasyfikacja spektralna to rozwijająca się od końca poprzedniego wieku metoda analizy skupień. Metoda ta, mimo niekiedy niezbyt rozbudowanej podbudowy teoretycznej, daje bardzo dobre wyniki empiryczne zarówno na zbiorach testowych jak i na rzeczywistych zbiorach danych. Artykuł przedstawia najważniejsze kroki algorytmu klasyfikacji spektralnej,
openaire   +1 more source

The consensus molecular subtypes of esophageal squamous cell carcinoma. [PDF]

Signal Transduct Target Ther
Cui H, Zhu Z, Xu E, Qi L, Cheng Y, Zhang Y, Zhang L, Cheng MY, Yang B, Sun R, Zhuang X, Xi Y, Yan T, Cheng C, Ding N, Liu H, Wang L, Guo M, Guo D, Zhang H, Peng M, An Z, Weng Y, Wang F, Liu M, Xiong R, Yin W, Song B, Zhang W, Cheng X, Liu Z, Zhan Q, Wang X, Cui Y.   +33 more
europepmc   +1 more source

Venous Anatomy and Embryology of the Tentorium. [PDF]

J Neuroendovasc Ther
Mori K, Isoda M, Fukui I, Tamase A, Kodama N, Yamada R, Kojima M, Nakano T, Nomura M.   +8 more
europepmc   +1 more source