Results 271 to 280 of about 622,801 (308)
Some of the next articles are maybe not open access.
Image Classification by Web Images
2002While main targets of conventional Web mining are numerical and textual data, we propose Web mining for image data. Thanks to the recent rapid spread of digital imaging devices, demand for generic image classification of various kinds of real world images becomes greater.
openaire +1 more source
Retrieval and classification of food images
Computers in Biology and Medicine, 2016Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision.
FARINELLA, GIOVANNI MARIA +4 more
openaire +2 more sources
Genetic Image Network for Image Classification
2009Automatic construction methods for image processing proposed till date approximate adequate image transformation from original images to their target images using a combination of several known image processing filters by evolutionary computation techniques. Genetic Image Network (GIN) is a recent automatic construction method for image processing. The
Shinichi Shirakawa +2 more
openaire +1 more source
Image Database Assisted Classification
1999Image similarity can be defined in a number of different semantic contexts. At the lowest common denominator, images may be classified as similar according to geometric properties, such as color and shape distributions. At the mid-level, a deeper image similarity may be defined according to semantic properties, such as scene content or description.
Santini, S. +5 more
openaire +2 more sources
Knowledge-Based Image Classification
1992In a knowledge based classification, ancillary data and knowledge are combined with spectral information. A method of knowledge based classification based on temporal relationships between classes is introduced. Knowledge about crop rotations is represented by means of state transition matrices.
Middelkoop, H., Janssen, L.L.F.
openaire +2 more sources
Kronecker Decomposition for Image Classification
2016We propose an image decomposition technique that captures the structure of a scene. An image is decomposed into a matrix that represents the adjacency between the elements of the image and their distance. Images decomposed this way are then classified using a maximum margin regression (MMR) approach where the normal vector of the separating hyperplane ...
Sabrina Fontanella +3 more
openaire +1 more source
Image Coding for Classification
Color and Imaging Conference, 1999Finlayson, Graham, Qiu, G
openaire +1 more source
Multi-Label Active Learning Algorithms for Image Classification
ACM Computing Surveys, 2021Jian Wu, VÍCTOR S Sheng, Hua Li
exaly
Review of Image Classification Algorithms Based on Convolutional Neural Networks
Remote Sensing, 2021Leiyu Chen, Shaobo Li, Qiang Bai
exaly
Deep metric learning for few-shot image classification: A Review of recent developments
Pattern Recognition, 2023Xiaoxu Li, Xiaochen Yang, Zhanyu Ma
exaly