Results 61 to 70 of about 2,740,047 (370)

A Multiple Cascade-Classifier System for a Robust and Partially Unsupervised Updating of Land-Cover Maps [PDF]

, 2002
A system for a regular updating of land-cover maps is proposed that is based on the use of multitemporal remote-sensing images. Such a system is able to face the updating problem under the realistic but critical constraint that, for the image to be ...
Bruzzone, Lorenzo, Cossu, Roberto
core  

Unsupervised cryo-EM data clustering through adaptively constrained K-means algorithm

, 2016
In single-particle cryo-electron microscopy (cryo-EM), K-means clustering algorithm is widely used in unsupervised 2D classification of projection images of biological macromolecules.
Mao, Youdong, Wu, Jiayi, Xu, Yaofang, Yin, Chang-Cheng   +3 more
core   +7 more sources

Unsupervised Classification of Chemical Compounds

Journal of the Royal Statistical Society Series C: Applied Statistics, 1999
SUMMARY Clustering chemical compounds of similar structure is important in the pharmaceutical industry. One way of describing the structure is the chemical ‘fingerprint’. The fingerprint is a string of binary digits, and typical data sets consist of very large numbers of fingerprints; a suitable clustering procedure must take account of ...
Guttiérrez Toscano, P., Marriott, F. H. C.   +1 more
openaire   +2 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Unsupervised two-class and multi-class support vector machines for abnormal traffic characterization [PDF]

, 2009
Although measurement-based real-time traffic classification has received considerable research attention, the timing constraints imposed by the high accuracy requirements and the learning phase of the algorithms employed still remain a challenge. In this
Hutchison, D., Kim, H., Marnerides, A., Pezaros, D.   +3 more
core  

Nonparametric Unsupervised Classification

, 2012
Submitted to ALT ...
Yang, Yingzhen, Huang, Thomas S.
openaire   +2 more sources

Unsupervised Spoken Utterance Classification

, 2021
An intelligent virtual assistant (IVA) enables effortless conversations in call routing through spoken utterance classification (SUC) which is a special form of spoken language understanding (SLU). Building a SUC system requires a large amount of supervised in-domain data that is not always available.
Jalalvand, Shahab, Bangalore, Srinivas
openaire   +2 more sources

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Satellite image classification using proposed singular value decomposition method

Iraqi Journal of Physics, 2019
In this work, satellite images for Razaza Lake and the surrounding area district in Karbala province are classified for years 1990,1999 and 2014 using two software programming (MATLAB 7.12 and ERDAS imagine 2014).
Noor Zubair Kouder
doaj   +1 more source

Toward instrument combination for boundary layer classification

Atmospheric Science Letters, 2023
To handle the complexity of the atmospheric boundary layer (ABL) and make accurate feature detection (top height, low‐level jets, inversions, etc.), a prior necessary step is to identify the type of boundary layer.
Thomas Rieutord, Pauline Martinet, Alexandre Paci   +2 more
doaj   +1 more source