Results 21 to 30 of about 1,014,031 (308)

Classification and intellectual disabilities: an investigation of the factors that predict the performance of athletes with intellectual disability [PDF]

, 2018
It has been shown that having intellectual disabilities impacts to reduce performance compared to athletes without this impairment. However, it has also been demonstrated that there is a not a direct link between intelligence and athletic performance. To
Jan Burns, Gilderthorp, R., Rosanna Gilderthorp, Jones, F., Fergal Jones, Burns, J.   +5 more
core   +1 more source

A Fundamental Performance Limitation for Adversarial Classification [PDF]

IEEE Control Systems Letters, 2020
Despite the widespread use of machine learning algorithms to solve problems of technological, economic, and social relevance, provable guarantees on the performance of these data-driven algorithms are critically lacking, especially when the data originates from unreliable sources and is transmitted over unprotected and easily accessible channels.
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti   +2 more
openaire   +2 more sources

Performance Issues in Shape Classification [PDF]

, 2002
Shape comparisons of two groups of objects often have two goals: to create a classifier to separate the groups and to provide information that shows differences between classes. We examine issues that are important for shape analysis in a study comparing schizophrenic patients to normal subjects.
Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III   +5 more
openaire   +1 more source

Multi‐view learning for benign epilepsy with centrotemporal spikes

IET Computer Vision, 2019
Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan, Ling Liu, Sunitha Basodi, Yi Pan   +3 more
doaj   +1 more source

Diversified Fisher kernel: encoding discrimination in Fisher features to compete deep neural models for visual classification task

IET Computer Vision, 2020
Fisher kernels derived from stochastic probabilistic models such as restricted and deep Boltzmann machines have shown competitive visual classification results in comparison to widely popular deep discriminative models.
Sarah Ahmed, Tayyaba Azim
doaj   +1 more source

Comparative Evaluation of Packet Classification Algorithms for Implementation on Resource Constrained Systems [PDF]

, 2005
This paper provides a comparative evaluation of a number of known classification algorithms that have been considered for both software and hardware implementation.
F. Risso, DEGIOANNI L., Baldi, Mario, Alessio, E., STIRANO F., Risso, Fulvio Giovanni Ottavio, E. Alessio, Degioanni, L., Varenni, G., G. Varenni, ALESSIO E., Stirano, F., L. Degioanni, M. Baldi, F. Stirano, VARENNI G.   +15 more
core   +1 more source

Traffic flow privacy protection with performance guarantee for classification in large networks (minor revision of INS_D_21_805R3)

, 2023
Privacy-preserving traffic flow classification has attracted a significant amount of research interest because of its increasing importance to both network management and privacy protection.
Hui Tian, Tian, Hui
core   +1 more source

Multi-engine packet classification hardware accelerator [PDF]

, 2009
As line rates increase, the task of designing high performance architectures with reduced power consumption for the processing of router traffic remains important. In this paper, we present a multi-engine packet classification hardware accelerator, which
Wang, Xiaojun, Liu, Bin, Zhen Liu, Kennedy, Alan, Bin Liu, Liu, Zhen, Xiaojun Wang, Alan Kennedy   +7 more
core   +1 more source

Performance dispersion for evidence-based classification of stationary throwers [PDF]

, 2012
Background: There is a need for better understanding of the dispersion of classification-related variable to develop an evidence-based classification of athletes with a disability participating in stationary throwing events.
Frossard, Laurent, Frossard, Laurent A.
core   +1 more source

The Classification Performance and Mechanism of Machine Learning Algorithms in Winter Wheat Mapping Using Sentinel-2 10 m Resolution Imagery

Applied Sciences, 2020
Machine learning algorithms are crucial for crop identification and mapping. However, many works only focus on the identification results of these algorithms, but pay less attention to their classification performance and mechanism.
Peng Fang, Xiwang Zhang, Panpan Wei, Yuanzheng Wang, Huiyi Zhang, Feng Liu, Jun Zhao   +6 more
doaj   +1 more source