Fuzzy C-means algorithmA video recommendation framework for e-commerce clients is proposed using the collaborative filtering (CF) process. One of the most important features of the CF algorithm is its scalability. To avoid the issue, a hybrid model-based collaborative filtering approach is proposed...
Secondly, because the fuzzy c-means algorithm is sensitive to the initializations, we initialize the cluster center by the shots of query video, so that the users could achieve appropriate convergence. Each shot of query video is considered as a benchmark point in aforesaid cluster and each ...
The proposed algorithm is composed of four stages: (1) an adaptive Gaussian mixture model to detect moving regions, (2) a fuzzy c-means (FCM) algorithm to segment the candidate fire regions from these moving regions based on the color of fire, (3) special parameters extracted based on the...
Image Processing Toolbox™ is a tool that provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image ...
Mandryk, R.L., Atkins, M.S.: A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. Int. J. Hum.-Comput. Stud. 65(4), 329–347 (2007). ISSN 10715819, https://doi.org/10.1016/j.ijhcs.2006.11.011, http://linkinghub.elsevier.com/retri...
Figure 1. The overall framework of our algorithm. Figure 2. The result of proposed dimensionality reduction method: (a) original HSI; (b) global spectral curve; (c) local spectral curve; (d) final spectral curve; (e) result image. Figure 3. The first 32 channels of deep features from ...
Third, about fuzzy tasks, which can be interpreted different ways, but in particular, with long form output, where deep research seems to be doing pretty well with fuzzy tasks, but inherently, they're difficult to train, again in part because you often need a human to evaluate the output....
“A High-Performance Shot Boundary Detection Algorithm Using Multiple Cues,” Proceedings of IEEE International Conference on Image Processing, Chicago, IL, 1998, pp. 884-887. Josh Bernoff, “How Cable TV Can Beat Satellite,” WholeView TechStrategy Rsearch, Apr. 2002 Forrester Research, Inc....
retrieval” (Signal Processing, pp. 1049-1067, 2000) extracts key frames by minimizing a cross correlation criterion among the video frames by means of a genetic algorithm. The correlation is computed using several features extracted using color/motion segmentation on a fuzzy feature vector ...
Random forest is a commonly-used machine learning algorithm, which combines the output of multiple decision trees to reach a single result. A decision tree in a forest cannot be pruned for sampling and therefore, prediction selection. Its ease of use and flexibility have fueled its adoption, as...