Efficient content-based image retrieval using multiple support vector machines ensemble
With the evolution of digital technology, there has been a significant increase in the number
of images stored in electronic format. These range from personal collections to medical and …
of images stored in electronic format. These range from personal collections to medical and …
Analysis of image classification using SVM
SST Gontumukkala, YSV Godavarthi… - 2021 12th …, 2021 - ieeexplore.ieee.org
Image classification is one of the classical image processing problems. There are various
approaches such as Support Vector Machine, Artificial Neural Networks, Convolutional …
approaches such as Support Vector Machine, Artificial Neural Networks, Convolutional …
Digital forensics AI: evaluating, standardizing and optimizing digital evidence mining techniques
AA Solanke, MA Biasiotti - KI-Künstliche Intelligenz, 2022 - Springer
The impact of AI on numerous sectors of our society and its successes over the years
indicate that it can assist in resolving a variety of complex digital forensics investigative …
indicate that it can assist in resolving a variety of complex digital forensics investigative …
Integrating wavelets with clustering and indexing for effective content-based image retrieval
Recent development in technology influenced our daily life and the way people
communicate and store data. There is a clear shift from traditional methods to sophisticated …
communicate and store data. There is a clear shift from traditional methods to sophisticated …
A new approach to clothing classification using mid-level layers
B Willimon, I Walker, S Birchfield - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
We present a novel approach for classifying items from a pile of laundry. The classification
procedure exploits color, texture, shape, and edge information from 2D and 3D local and …
procedure exploits color, texture, shape, and edge information from 2D and 3D local and …
Uncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs
F Giacco, C Thiel, L Pugliese… - … on Geoscience and …, 2010 - ieeexplore.ieee.org
Classification of multispectral remotely sensed data with textural features is investigated with
a special focus on uncertainty analysis in the produced land-cover maps. Much effort has …
a special focus on uncertainty analysis in the produced land-cover maps. Much effort has …
Subject-dependent selection of geometrical features for spontaneous emotion recognition
O Sidhom, H Ghazouani, W Barhoumi - Multimedia Tools and Applications, 2023 - Springer
Facial expressions are among the most powerful ways to reveal the emotional state.
Therefore, Facial Expression Recognition (FER) has been widely introduced to wide fields of …
Therefore, Facial Expression Recognition (FER) has been widely introduced to wide fields of …
[PDF][PDF] Breast histopathology image clustering using cuckoo search algorithm
Breast histopathological image segmentation is exigent due to the existence of
imperceptibly correlated and indistinct multiple regions of concern. Clustering based …
imperceptibly correlated and indistinct multiple regions of concern. Clustering based …
Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping
This paper assessed the performance of object-based supervised support vector machine
(SVM) and rule-based techniques in classifying tropical vegetated floodplain using 0.6 m …
(SVM) and rule-based techniques in classifying tropical vegetated floodplain using 0.6 m …
Artificial Intelligence in politics
T Marwala - Artificial Intelligence, Game Theory and Mechanism …, 2023 - Springer
Artificial intelligence (AI) has recently emerged as a potent force for change, touching every
business and every aspect of modern life. AI's immense powers are drastically transforming …
business and every aspect of modern life. AI's immense powers are drastically transforming …