A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
A tutorial-based survey on feature selection: Recent advancements on feature selection
A Moslemi - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Curse of dimensionality is known as big challenges in data mining, pattern recognition,
computer vison and machine learning in recent years. Feature selection and feature …
computer vison and machine learning in recent years. Feature selection and feature …
A survey on swarm intelligence approaches to feature selection in data mining
One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …
causes the issue of “the curse of dimensionality” when applying machine learning …
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …
exploration of complex and dynamic biological processes. Instrument development has …
Deep learning: a rapid and efficient route to automatic metasurface design
T Qiu, X Shi, J Wang, Y Li, S Qu, Q Cheng… - Advanced …, 2019 - Wiley Online Library
Metasurfaces provide unprecedented routes to manipulations on electromagnetic waves,
which can realize many exotic functionalities. Despite the rapid development of …
which can realize many exotic functionalities. Despite the rapid development of …
Learning adaptive discriminative correlation filters via temporal consistency preserving spatial feature selection for robust visual object tracking
With efficient appearance learning models, discriminative correlation filter (DCF) has been
proven to be very successful in recent video object tracking benchmarks and competitions …
proven to be very successful in recent video object tracking benchmarks and competitions …
Head2toe: Utilizing intermediate representations for better transfer learning
Transfer-learning methods aim to improve performance in a data-scarce target domain using
a model pretrained on a data-rich source domain. A cost-efficient strategy, linear probing …
a model pretrained on a data-rich source domain. A cost-efficient strategy, linear probing …
Joint group feature selection and discriminative filter learning for robust visual object tracking
We propose a new Group Feature Selection method for Discriminative Correlation Filters
(GFS-DCF) based visual object tracking. The key innovation of the proposed method is to …
(GFS-DCF) based visual object tracking. The key innovation of the proposed method is to …
Top-k Feature Selection Framework Using Robust 0–1 Integer Programming
Feature selection (FS), which identifies the relevant features in a data set to facilitate
subsequent data analysis, is a fundamental problem in machine learning and has been …
subsequent data analysis, is a fundamental problem in machine learning and has been …
Feature selection for neural networks using group lasso regularization
We propose an embedded/integrated feature selection method based on neural networks
with Group Lasso penalty. Group Lasso regularization is considered to produce sparsity on …
with Group Lasso penalty. Group Lasso regularization is considered to produce sparsity on …