Results 1 to 10 of about 388,111 (72)

Feature extraction with mel scale separation method on noise audio recordings [PDF]

IJEECS, Vol. 24, No. 2, pp 815-824 (2021); http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25626, 2021
This paper focuses on improving the accuracy of noise audio recordings. High-quality audio recording, extraction using the mel frequency cepstral coefficients (MFCC) method produces high accuracy. While the low-quality is because of noise, the accuracy is low. Improved accuracy by investigating the effect of bandwidth on the mel scale.
arxiv   +1 more source

Deciding Accuracy of Differential Privacy Schemes [PDF]

, 2020
Differential privacy is a mathematical framework for developing statistical computations with provable guarantees of privacy and accuracy. In contrast to the privacy component of differential privacy, which has a clear mathematical and intuitive meaning, the accuracy component of differential privacy does not have a generally accepted definition ...
arxiv   +1 more source

BEBERT: Efficient and Robust Binary Ensemble BERT [PDF]

, 2022
Pre-trained BERT models have achieved impressive accuracy on natural language processing (NLP) tasks. However, their excessive amount of parameters hinders them from efficient deployment on edge devices. Binarization of the BERT models can significantly alleviate this issue but comes with a severe accuracy drop compared with their full-precision ...
arxiv   +1 more source

Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification [PDF]

arXiv, 2021
In many machine learning settings there is an inherent tension between fairness and accuracy desiderata. How should one proceed in light of such trade-offs? In this work we introduce and study $\gamma$-disqualification, a new framework for reasoning about fairness-accuracy tradeoffs w.r.t a benchmark class $H$ in the context of supervised learning. Our
arxiv  

Context-Aware Streaming Perception in Dynamic Environments [PDF]

arXiv, 2022
Efficient vision works maximize accuracy under a latency budget. These works evaluate accuracy offline, one image at a time. However, real-time vision applications like autonomous driving operate in streaming settings, where ground truth changes between inference start and finish. This results in a significant accuracy drop.
arxiv  

How Does Gender Balance In Training Data Affect Face Recognition Accuracy? [PDF]

arXiv, 2020
Deep learning methods have greatly increased the accuracy of face recognition, but an old problem still persists: accuracy is usually higher for men than women. It is often speculated that lower accuracy for women is caused by under-representation in the training data. This work investigates female under-representation in the training data is truly the
arxiv  

FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving [PDF]

arXiv, 2020
For deployment on an embedded processor for autonomous driving, the object detection network should satisfy all of the accuracy, real-time inference, and light model size requirements. Conventional deep CNN-based detectors aim for high accuracy, making their model size heavy for an embedded system with limited memory space.
arxiv  

Detection and Prevention Against Poisoning Attacks in Federated Learning [PDF]

arXiv, 2022
This paper proposes and investigates a new approach for detecting and preventing several different types of poisoning attacks from affecting a centralized Federated Learning model via average accuracy deviation detection (AADD). By comparing each client's accuracy to all clients' average accuracy, AADD detect clients with an accuracy deviation.
arxiv  

Evaluation of the Accuracy of the BGLemmatizer [PDF]

arXiv, 2015
This paper reveals the results of an analysis of the accuracy of developed software for automatic lemmatization for the Bulgarian language. This lemmatization software is written entirely in Java and is distributed as a GATE plugin. Certain statistical methods are used to define the accuracy of this software.
arxiv  

On the Stability and Accuracy of Clenshaw-Curtis Collocation [PDF]

arXiv, 2022
We study the A-stability and accuracy characteristics of Clenshaw-Curtis collocation. We present closed-form expressions to evaluate the Runge-Kutta coefficients of these methods. From the A-stability study, Clenshaw-Curtis methods are A-stable up to a high number of nodes.
arxiv