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A New Way for Face Sketch Construction and Detection Using Deep CNN
2023
International Journal on Recent and Innovation Trends in Computing and Communication
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Second, we employ transfer learning for precise suspect identification using the pre-trained VGG-Face model. ...
Utilizing Convolutional Neural Networks, which are famous for their data processing powers and hierarchical feature extraction, is a key component of our strategy. ...
Sonali Antad, our guide, for her invaluable guidance, support, and expertise throughout the work. ...
doi:10.17762/ijritcc.v11i10.8511
fatcat:aw3ha5apbbd57ndmzckwwlbqiu
Probabilistic Neural Programs
[article]
2016
arXiv
pre-print
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Probabilistic neural programs combine a computation graph for specifying a neural network with an operator for weighted nondeterministic choice. ...
of deep neural networks. ...
Acknowledgements The authors would like to thank the reviewers for their comments as well as helpful discussions with Arturo Argueta and Oyvind Tafjord. ...
arXiv:1612.00712v1
fatcat:mffogftuwzg47mqo3imqvdnnrm
Enhancing the Privacy of Federated Learning with Sketching
[article]
2019
arXiv
pre-print
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We evaluate the feasibility of sketching-based federated learning with a prototype on three representative learning models. ...
Our initial findings show that it is possible to provide strong privacy guarantees for federated learning without sacrificing performance or accuracy. ...
Question 2: What current sketches are useful in terms of privacy and accuracy? Sketches are commonly used for applications in network measurement and databases. ...
arXiv:1911.01812v1
fatcat:mquqgd2ykjepdidtf5bx4rkkpq
Development of a machine learning-based sketch planning model for predicting mobile emissions
2021
Transportation Research Interdisciplinary Perspectives
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This paper discusses an approach for a simple sketch planning method based on a Random Forest (RF) algorithm with a machine learning technique that practitioners may use to predict emissions with significantly ...
The authors think that the model could be a sketch planning model evaluating emissions impacts of variables such as land use, trip purpose, network enhancement or mobility. ...
Overall framework of machine learning-based sketch planning model. variables layer of the decision tree and serves to improve the interpretability of machine learning analysis. ...
doi:10.1016/j.trip.2021.100379
fatcat:coesppykivcirdx3mx7mhssb7i
APT Attack Detection Scheme Based on CK Sketch and DNS Traffic
2023
Sensors
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We validate and evaluate our solution using 1,088,280 DNS traffic from a lab network and APT suspicious traffic from netresec and contagio, using eight machine learning models. ...
Our work also analyzes the limitations of traditional sketches in network traffic and proposes an improved sketch scheme. In addition, we propose several effective features for detecting APT attacks. ...
scaling, etc., to improve the dataset and enhance the classification effect and efficiency of the machine learning model. ...
doi:10.3390/s23042217
pmid:36850815
pmcid:PMC9964868
fatcat:hdcezm6p7rgflbvnlityik76fu
A Survey on Deep Transfer Learning
[article]
2018
arXiv
pre-print
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This survey focuses on reviewing the current researches of transfer learning by using deep neural network and its applications. ...
We defined deep transfer learning, category and review the recent research works based on the techniques used in deep transfer learning. ...
Consider all instances in the new data space as the training set of the neural network.
Fig. 4 . 4 Sketch map of network-based deep transfer learning. ...
arXiv:1808.01974v1
fatcat:pdkq4uskazhslopclb5zhmeigi
Recent Progress in Automated Code Generation from GUI Images Using Machine Learning Techniques
2020
Journal of universal computer science (Online)
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Recently, Machine Learning approaches have shown promising results in detecting GUI elements for such automation. ...
A solution can be the automation of the generation of code based on sketches or GUI design images. ...
((sketch* OR wireframe* OR screenshot* OR mockup*) AND [ui OR "user interface*" OR GUI) AND (app* OR website* OR ios OR mobile OR android) AND ("machine learning" OR "deep learning" OR "neural network* ...
doi:10.3897/jucs.2020.058
fatcat:nil4nwhs7vhqfphkwkrg6i2jky
Footwear Sketches Colorization Method based on Generative Adversarial Network
2022
International Journal of Advanced Computer Science and Applications
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Take footwear design as an example, it is difficult for designers to complete a colorful sketch in a limited time, so an artificial intelligence technology for coloring shoes is required. ...
The coloring of sketches has a constant market demand in the area of research. The difficulty of the coloring sketch outline is its lack of texture and color. ...
At first it is hard for the machine to understand the sketches of footwear which have innumerable drawing styles. As well, footwear sketches have a limited expression. ...
doi:10.14569/ijacsa.2022.0131219
fatcat:zi2tofczvfavfd2gjs4zf3bmpe
A Study of Human-AI Symbiosis for Creative Work: Recent Developments and Future Directions in Deep Learning
2022
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Human-AI symbiosis could be a promising future direction for AI's continuing integration into the world. ...
Although the teaming of humans and machines includes a lot of complex tasks, the development has been very promising. ...
INTRODUCTION The development of artificial intelligence, which includes the study of machine learning, particularly deep learning and neural networks, brings rapid changes in our human lives. ...
doi:10.1145/3542698
fatcat:7bzv2dq5ujfxhmkv6up2nhb2gi
Machine learning meets quantum physics
2019
Physics today
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2019 pre-print arXiv:1903.03516v1 fatcat:7ngsottqv5fbfe5yf326xap7si
The marriage of machine learning and quantum physics may give birth to a new research frontier that could transform both. ...
For quantum-enhanced machine learning, a unified quantum learning theory has not been developed, and many fundamental questions remain open: What is the general criterion for determining if a machine-learning ...
for at least partially solving that problem. 13 Quantum-enhanced machine learning The above examples have clearly uncovered the unparalleled power of machine-learning techniques in solving various challenging ...
doi:10.1063/pt.3.4164
fatcat:jukdgh7zibh2pi3a7zpvsn2kcm
Automatic Cataract Classification on Retinal Image using Support Vector Machine
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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We have used brightness preserving dynamic fuzzy histogram equalization method for contrast enhancement of image. ...
For feature extraction statistical texture features such as mean, variance, energy, entropy and kurtosis of the eye is found. Support Vector Machine (SVM). SVM classification accuracy is 89%. ...
Back propagation neural network [21] and Support vector machine is used as a learning model. Ensemble method such as majority voting and Stacking technique is used to associate the learning models. ...
doi:10.23956/ijarcsse/v7i6/0159
fatcat:75sb2rmu2vcfnpq6lkwcv6oio4
Forensic Face Sketch Artist System
2022
International Journal for Research in Applied Science and Engineering Technology
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much faster and efficiently using deep learning and cloud infrastructure. ...
One such way can be using face recognition technology for identifying and verifying the criminal. ...
The machine learning algorithm would learn from the sketches and the database in order to suggest the user all the relatable facial features that could be used with a single selected feature in order the ...
doi:10.22214/ijraset.2022.46431
fatcat:ahpbumpsaban5ibpuekabt2jmi
An Empirical Study on the Artificial Intelligence-Aided Quantitative Design of Art Images
2021
Wireless Communications and Mobile Computing
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To further enhance the sketch generation effect, a bilateral filtering algorithm is added to the generator model for noise reduction, and then a K -means algorithm is used for color quantization to solve ...
A CycleGAN-based network model for automatic generation of sketches of fine art images is constructed to extract the edge and contour features of fine art images. ...
In this paper, we construct a CycleGAN network-based sketch generation model for ethnic costumes. ...
doi:10.1155/2021/8036323
fatcat:zcslzaqpbzbdxmnlk6bhmp5tta
From 2D Sketches to Photo-Realistic Images using Generative Adversarial Networks
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Support Vector Machine (SVM) is the classifier used for classification. This HOG and SVM model can be improved, altered and executed as multi-program software. ...
With increasing technological advancements, there is a need for automation in this ever-evolving world. This may result in improved efficiency, faster work and enhanced capabilities. ...
During the training phase, the machine is fed data to carry out the learning process. ...
doi:10.35940/ijitee.a4360.119119
fatcat:kvb6lxlp45cpzevpd4kxu3wv3q
A Survey on SDN & SDCN Traffic Measurement: Existing Approaches and Research Challenge
[article]
2022
arXiv
pre-print
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More in details, we list out kinds of practical machine learning (ML) approaches to analyze how we can make improvement in the traffic measurement performances. ...
Furthermore, we find out the challenges related to SDN/SDCN traffic measurement and future scope of research, which will guide to design and develop more advanced traffic measurement solutions for a scalable ...
Accuracy in bandwidth measurement in SDN can quicken network administration and enhance network QoS. ...
arXiv:2206.14236v1
fatcat:ziyjpl4o6nctbm5znuhnqsvpm4
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