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H-NeXt: The next step towards roto-translation invariant networks
the state of the art in classification on unaugmented training sets and augmented test roto-translation invariant network that is trained without a single augmented image in the training set<...
Computer hardware and architecture
- 2023 •
- O
Rok uplatnění
O - Ostatní výsledky
CNN Architecture for Posture Classification on Small Data
trained on a small data set in the~context of patient posture classification based possibilities and training settings. We tested various training options and layer of 93.1% of one of th...
Automation and control systems
- 2024 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Identification of Sky Area in ImagesAccording to Low Level Features
This paper describes the way how features were extracted and also a trained classification model, which achieved accuracy 96.29% +/- 5.76% using cross-validation with training set and 95.46 % on validation data
BD - Teorie informace
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Editor for marking and labeling of object images for binary supervised classification in MATLAB environment
The supervised classification of object images requires a labeled training set in the learning phase. The labeled training set is created by a teacher on the base of a set and their simultaneous l...
IN - Informatika
- 2015 •
- D
Rok uplatnění
D - Stať ve sborníku
Satimnet: Structured and harmonised training data for enhanced satellite imagery classification
Automatic supervised classification with complex modelling such as deep neural networks requires the availability of representative training data sets. While there exists a plethora of data sets that can be used fo...
Remote sensing
- 2020 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
SVM Based ECG Classification Using Rhythm and Morphology Features, ClusternAnalysis and Multilevel Noise Estimation
the second classification model. Both classifiers were evaluated on training set via challenge dataset and training set, respectively. Particular F1 scores within hidden within training set
Medical engineering
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation
the second classification model. Both classifiers were evaluated on training set via challenge dataset and training set, respectively. Particular F1 scores within hidden within training set
Robotics and automatic control
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Computer-Assisted Statistical Data Analysis. 10. Classification of underground water using a discriminant analysis
The linear discriminant analysis enables classification among two or more groups of objects being described with more variables. The investigator has one set of multivariate observations, the training set,...
BB - Aplikovaná statistika, operační výzkum
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Phoneme confidence estimator based on Gaussian mixture models
The paper propose a statistical approach to phoneme confidence estimation and classification. For this purpose a set of Gaussian Mixture models are trained on the TIMIT corpus....
BD - Teorie informace
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Deep Learning-based Classification of Viruses Using Transmission Electron Microscopy Images
into the training set, validation set and test set. The proposed model obtained better experimental results with 96.90% classification accuracy on the validation set and 96.10 eyes, and their aut...
Telecommunications
- 2022 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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