Results 11 to 20 of about 351,687 (262)
Learning Overcomplete Representations [PDF]
Neural Computation, 2000 In an overcomplete basis, the number of basis vectors is greater than the dimensionality of the input, and the representation of an input is not a unique combination of basis vectors. Overcomplete representations have been advocated because they have greater robustness in the presence of noise, can be sparser, and can have greater flexibility in ...
M S, Lewicki, T J, Sejnowski
openaire +2 more sources
Dual Space Latent Representation Learning for Image Representation
Mathematics, 2023 Semi-supervised non-negative matrix factorization (NMF) has achieved successful results due to the significant ability of image recognition by a small quantity of labeled information.
Yulei Huang +3 more
doaj +1 more source
Molecular set representation learning
Nature Machine Intelligence, 2023 Computational representation of molecules can take many forms, including graphs, string-encodings of graphs, binary vectors, or learned embeddings in the form of real-valued vectors. These representations are then used in downstream classification and regression tasks using a wide range of machine-learning models.
Maria Boulougouri +2 more
openaire +1 more source
Relation-Guided Representation Learning [PDF]
Neural Networks, 2020 Appear in Neural ...
Zhao Kang +4 more
openaire +3 more sources
Scientific Reports, 2023 The complexity of the cerebral cortex underlies its function and distinguishes us as humans. Here, we present a principled veridical data science methodology for quantitative histology that shifts focus from image-level investigations towards neuron ...
Andrija Štajduhar +4 more
doaj +1 more source
Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang, 2023 This study aims to determine the completeness of the implementation of Problem-Based Learning (PBL) to the achievement of students' mathematical representation skills, determine the influence of learning interest on the mathematical representation ...
Safa Agrita Hilsania, Masrukan Masrukan
doaj +1 more source
Learning representations from dendrograms [PDF]
Machine Learning, 2020 AbstractWe propose unsupervised representation learning and feature extraction from dendrograms. The commonly used Minimax distance measures correspond to building a dendrogram with single linkage criterion, with defining specific forms of a level function and a distance function over that. Therefore, we extend this method to arbitrary dendrograms.
Morteza Haghir Chehreghani +1 more
openaire +3 more sources
IEEE Access, 2021 Machine learning has been widely applied in the fields of biomedicine, computational biology, bioinformatics, image processing, and so on. The performance of machine learning methods mainly relies on feature representation that is the mapping from ...
Feifei Cui +5 more
doaj +1 more source
Involvement of NRF2 in Breast Cancer and Possible Therapeutical Role of Polyphenols and Melatonin
Molecules, 2021 Oxidative stress is defined as a disturbance in the prooxidant/antioxidant balance in favor of the former and a loss of control over redox signaling processes, leading to potential biomolecular damage.
Alev Tascioglu Aliyev +4 more
doaj +1 more source
Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang, 2022 This research is a descriptive study that aims to explain students' mathematical representation abilities in solving AKM numeracy questions after problem based learning is implemented, to explain the implementation of the problem based learning learning ...
Karenina Rizka Alifa +3 more
doaj +1 more source