Sign Up to like & get
recommendations!
0
Published in 2020 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.9b05764
Abstract: Mass spectrometry imaging (MSI) is a promising technique to assess the spatial distribution of molecules in a tissue sample. Non-linear dimensionality reduction methods such as Uniform Manifold Approximation and Projection (UMAP) can be very valuable…
read more here.
Keywords:
mass spectrometry;
uniform manifold;
dimensionality;
dimensionality reduction ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3144952
Abstract: Deep clustering usually treats the clustering assignments as supervisory signals to learn a more compact representation with deep neural networks, under the guidance of clustering-oriented losses. Nevertheless, we observe that, without reliable supervision, such losses…
read more here.
Keywords:
deep clustering;
global deep;
local global;
uniform manifold ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2017 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2017.2659645
Abstract: Maximum entropy PDF projection (MEPP) is a way to construct generative models from feature transformations. Corresponding to each dimension-reducing feature mapping, such as a feed-forward neural network or an algorithm to calculate linear-prediction coefficients from…
read more here.
Keywords:
manifold sampling;
feature;
maximum entropy;
uniform manifold ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "Entropy"
DOI: 10.3390/e23070793
Abstract: In professional soccer, the choices made in forming a team lineup are crucial for achieving good results. Players are characterized by different skills and their relevance depends on the position that they occupy on the…
read more here.
Keywords:
uniform manifold;
projection analysis;
manifold approximation;
soccer ... See more keywords