Results 21 to 30 of about 1,373,879 (350)

Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer [PDF]

IEEE International Conference on Computer Vision, 2021
A few-shot semantic segmentation model is typically composed of a CNN encoder, a CNN decoder and a simple classifier (separating foreground and background pixels).
Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, T. Xiang   +5 more
semanticscholar   +1 more source

Explaining in Style: Training a GAN to explain a classifier in StyleSpace [PDF]

IEEE International Conference on Computer Vision, 2021
Image classification models can depend on multiple different semantic attributes of the image. An explanation of the decision of the classifier needs to both discover and visualize these properties.
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, G. Elidan, Avinatan Hassidim, W. Freeman, Phillip Isola, A. Globerson, M. Irani, Inbar Mosseri   +10 more
semanticscholar   +1 more source

Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder

Biomolecules, 2020
An effective feature extraction method is key to improving the accuracy of a prediction model. From the Gene Expression Omnibus (GEO) database, which includes 13,487 genes, we obtained microarray gene expression data for 238 samples from colorectal ...
Dongmei Ai, Yuduo Wang, Xiaoxin Li, Hongfei Pan   +3 more
doaj   +1 more source

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

Microbiome, 2018
Taxonomic classification of marker-gene sequences is an important step in microbiome analysis. We present q2-feature-classifier (https://github.com/qiime2/q2-feature-classifier), a QIIME 2 plugin containing several novel machine-learning and alignment ...
N. Bokulich, Benjamin D. Kaehler, J. Rideout, Matthew R. Dillon, Evan Bolyen, R. Knight, G. Huttley, J. Caporaso   +7 more
semanticscholar   +1 more source

An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

International Journal of Cognitive Computing in Engineering, 2021
Diabetes is a dreadful disease identified by escalated levels of glucose in the blood. Machine learning algorithms help in identification and prediction of diabetes at an early stage.
S. Kumari, Deepika Kumar, Mamta Mittal
semanticscholar   +1 more source

RTCS: a reactive with tags classifier system [PDF]

, 2000
In this work, a new Classifier System is proposed (CS). The system, a Reactive with Tags Classifier System (RTCS), is able to take into account environmental situations in intermediate decisions.
Molina López, José Manuel, Segovia, Javier, Sanchis de Miguel, María Araceli, Isasi, Pedro, Isasi Viñuela, Pedro   +4 more
core   +1 more source

Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings

Sensors, 2023
Earthquakes are cataclysmic events that can harm structures and human existence. The estimation of seismic damage to buildings remains a challenging task due to several environmental uncertainties.
K. R. Sri Preethaa, Shyamala Devi Munisamy, Aruna Rajendran, Akila Muthuramalingam, Yuvaraj Natarajan, Ahmed Abdi Yusuf Ali   +5 more
doaj   +1 more source

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection [PDF]

Computer Vision and Pattern Recognition, 2019
Video anomaly detection under weak labels is formulated as a typical multiple-instance learning problem in previous works. In this paper, we provide a new perspective, i.e., a supervised learning task under noisy labels.
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li   +5 more
semanticscholar   +1 more source

Investigating the Potential of Sentinel-2 MSI in Early Crop Identification in Northeast China

Remote Sensing, 2022
Early crop identification can provide timely and valuable information for agricultural planting management departments to make reasonable and correct decisions.
Mengfan Wei, Hongyan Wang, Yuan Zhang, Qiangzi Li, Xin Du, Guanwei Shi, Yiting Ren   +6 more
doaj   +1 more source

Heuristics legislation in the field of classified information as a function of training subjects of defense

Vojnotehnički Glasnik, 2014
Education on the protection of classified information should be the top priority when it comes to ensuring the protection of the vital interests of the state.
Paun J. Bereš
doaj   +1 more source