Results 281 to 290 of about 29,125 (322)

Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information

IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2020
Protein-Protein Interactions (PPIs) play an irreplaceable role in biological activities of organisms. Although many high-throughput methods are used to identify PPIs from different kinds of organisms, they have some shortcomings, such as high cost and ...
Jianqiang Li, Xiaofeng Shi, Zhuhong You, Zhuangzhuang Chen, Qiuzhen Lin, Min Fang   +5 more
semanticscholar   +1 more source

Enhanced copy-paste forgery detection in digital images using scale-invariant feature transform

IET Image Processing, 2020
Image forgery detection and localisation is one of the principal problems in digital forensics. Copy–paste forgery in digital images is a type of forgery in which an image region is copied and pasted at another location within the same image.
Priyadharsini Selvaraj, Muneeswaran Karuppiah   +1 more
semanticscholar   +1 more source

Methods for Determining Nitrogen, Phosphorus, and Potassium (NPK) Nutrient Content Using Scale-Invariant Feature Transform (SIFT)

2020 8th International Conference on Information and Communication Technology (ICoICT), 2020
Nutrient Content NPK is macronutrient content that important for the growth of a plant. The measurement of NPK conducted periodically, but the measurement using laboratories test need a relatively long time. This Research is conducted to determine the nutrient content of the soil, consisting of nitrogen, phosphor, and calcium (NPK) using digital image ...
Samuel Demetouw, Raden Sumiharto, Ristya Ginanjar Putra   +2 more
openaire   +2 more sources

FLD-SIFT: Class Based Scale Invariant Feature Transform for Accurate Classification of Faces

2011
In this paper, a new model called FLD-SIFT is devised for compact representation and accurate recognition of faces. Unlike scale invariant feature transform model that uses smoothed weighted histogram and massive dimension of feature vectors, in the proposed model, an image patch centered around the keypoint has been considered and linear discriminant ...
M. Sharmila Kumari, B. H. Shekar, Natalia Dyshkant, Leonid M. Mestetskiy   +3 more
openaire   +2 more sources

Scale Invariant Feature Transform Based Method for Objects Matching

2019 International Russian Automation Conference (RusAutoCon), 2019
During the last decades, object recognition reported a widespread area of researchers. The reason for that is a numerous mixture of applications, where each application has its specific requirements and constraints.
A. Jubair, Aliaa Jaber Mahna', H. I. Wahhab   +2 more
semanticscholar   +1 more source

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Longlong Jing, Yingli Tian
exaly  

Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results

Expert Systems, 2020
Wei-chao Lin, Fang-rong Chang, Yi-hong Tsai   +2 more
exaly  

Texture image classification using scale invariant feature transform (SIFT) method

AIP Conference Proceedings, 2023
Haider S. Kaduhm, Hameed M. Abduljabbar
openaire   +1 more source

Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Dacheng Tao, Hiroyuki Sakurai, Jun Yu
exaly  

Multi‐Layer Feature Selection Incorporating Weighted Score‐Based Expert Knowledge toward Modeling Materials with Targeted Properties

Advanced Theory and Simulations, 2020
Siqi Shi, Maxim Avdeev
exaly