Understanding Slow Feature Analysis: A Mathematical Framework [PDF]
, 2008 Slow feature analysis is an algorithm for unsupervised learning of invariant representations from data with temporal correlations. Here, we present a mathematical analysis of slow feature analysis for the case where the input-output functions are not ...
Sprekeler, Henning +1 more
core +1 more source
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification- [PDF]
, 2018 Transfer learning is a machine learning technique designed to improve generalization performance by using pre-trained parameters obtained from other learning tasks.
Kido, Shoji +3 more
core +2 more sources
Causal Feature Selection via Transfer Entropy
2024 International Joint Conference on Neural Networks (IJCNN)Machine learning algorithms are designed to capture complex relationships between features. In this context, the high dimensionality of data often results in poor model performance, with the risk of overfitting. Feature selection, the process of selecting a subset of relevant and non-redundant features, is, therefore, an essential step to mitigate ...
Bonetti, Paolo +2 more
openaire +2 more sources
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Respiratory transfer value has fail-safe feature [PDF]
, 1965 Quick-acting, remote controlled valve connects either one of two oxygen or air supplies to a breathing tube. The valve, which is fall-safe, incorporates a cammed piston arrangement that is driven by a remote controlled reversible rotary solenoid or ...
Puccinelli, A. A., Smith, J. R., Jr.
core +1 more source
Zero-Shot Recognition using Dual Visual-Semantic Mapping Paths
, 2017 Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between the image feature space and the semantic embedding space.
Hu, Huanhang +4 more
core +1 more source
A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders [PDF]
, 2019 Publicado en Lecture Notes in Computer Science.The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with.
A Bashiri +13 more
core +1 more source
Nonlinear Feature Normalization for Hyperspectral Feature Transfer
, 2019 Hyperspectral remote sensing is an important topic for deriving high-level information about the earth's surface. Applications include land cover mapping, precision farming, and the detection of environmental pollution. This is made possible by recording and evaluating narrow-band features that are characteristic of individual materials.
openaire +3 more sources
Transfer Learning Using Feature Selection
, 2009 Masters ...
Dhillon, Paramveer S. +2 more
openaire +2 more sources