Results 261 to 270 of about 4,472,392 (304)

Labelled Tyrosinase from Labelled Substrate

Nature, 1965
IT is well known that tyrosinase becomes inactivated when it oxidizes phenol or pyrocatechol but is much more stable towards substituted phenols and catechols, such as 4-5-dimethyl catechol1. We wish to report evidence which seems to support the view that this inactivation is due to the formation of a compound between the enzyme protein and the product
B J, WOOD, L L, INGRAHAM
openaire   +2 more sources

Multi-Label Classification: An Overview

International Journal of Data Warehousing and Mining, 2007
Multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization, and semantic scene classification.
Grigorios Tsoumakas, I. Katakis
semanticscholar   +1 more source

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

International Journal of Computer Vision, 2020
This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic segmentation.
Zhedong Zheng, Yi Yang
semanticscholar   +1 more source

Food Labeling

Diabetes Care, 1994
In June 1990, the American Diabetes Association approved a food labeling position statement (1) that emphasized the following four general points: 1) food labeling must be truthful, meaningful, understandable, and complete; 2) no food should be designated or promoted as nutritionally good, bad, healthful, or unhealthful for people with diabetes; 3 ...
M L, Wheeler, M, Franz, J, Heins, R, Schafer, H, Holler, B, Bohannon, J P, Bantle, P, Barrier   +7 more
openaire   +2 more sources

A New Backdoor Attack in CNNS by Training Set Corruption Without Label Poisoning

International Conference on Information Photonics, 2019
Backdoor attacks against CNNs represent a new threat against deep learning systems, due to the possibility of corrupting the training set so to induce an incorrect behaviour at test time. To avoid that the trainer recognises the presence of the corrupted
M. Barni, Kassem Kallas, B. Tondi
semanticscholar   +1 more source

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

European Conference on Computer Vision, 2020
We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.
Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin   +4 more
semanticscholar   +1 more source

One Point of View: Labels, Labels, Labels

The Arithmetic Teacher, 1977
In the last decade the number of labels assigned to students has increased phenomenally. The amount of assistance and funding provided for children with learning problems has been both amazing and effective in helping them overcome and compensate for their difficulties, differences, or disabilities.
openaire   +1 more source

Beyond labels

Journal of Planning Education and Research, 2002
This article advocates a neopragmatic approach to collaborative planning in protected areas characterized by historical conflict among diverse stakeholders. Our example is a multisectoral process initiated to address use and development conflicts in the international tourism destination of Banff National Park, Canada.
Tazim B. Jamal, Stanley M. Stein, Thomas L. Harper   +2 more
openaire   +1 more source

Protein labelling

Molecular BioSystems, 2016
Professor Eranthie Weerapana and Professor Lyn Jones introduce this Protein Labelling themed issue.
Lyn H, Jones, Eranthie, Weerapana
openaire   +2 more sources

Digoxigenin labeling

Molecular Biotechnology, 1997
Digoxigenin is increasingly used as a label for nonradioactive detection of nucleic acids and proteins. A variety of methods for labeling are described as well as numerous applications of technology.
openaire   +2 more sources