A comparison of fuzzy ARTMAP and AdaBoost methods in image retrieval problems Görüntü erişiminde bulanik ARTMAP ve AdaBoost yöntemlerinin karşilaştirmasi

A hierarchical classification system based on adaptive resonance theory UYSAL, Mutlu; Akbaş, Emre; Yarman Vural, Fatoş Tunay (2006-10-11) In this study, we propose a hierarchical classification system, which emulates the eye-brain channel in two hierarchical layers. In the first layer, a set of classifiers are trained by using low level, low dimensional features. In the second layer, the recognition results of the first layer are fed to the Fuzzy ARTMAP (FAM) classifier which implements the Adaptive Resonance Theory. Experiments indicate that the hierarchical approach proposed in this paper, increases the classification performances compared ...
A Comparison of methods for trademark retrieval in a large trademark dataset Tuerxun, Wusiman; Kalkan, Sinan; Department of Computer Engineering (2015) By the end of the first decades of the 21 th century, the applications for trademarks worldwide have approached an astounding number of 5 million. In Turkey alone, this number has reached the 1 million mark, and is expected by all means to keep increasing. The accelerating competition of trademark influence and uniqueness has intensified trademark piracies and infringements, and therefore resulted in a substantial burden for the patent offices, not to mention direct economic losses. To overcome this ever-in...
An integrated approach to computational vision - The edge strength function and the nested symmetries Tarı, Zehra Sibel (1999-01-01) A new development in local symmetry extraction and its connections to segmentation functionals and the fronts propagating with curvature-dependent speed are examined. The basic tool is a new distance function that attains its maximum value at the shape boundary and decays rapidly away from there. It is shown that the Hessian of the distance function captures perceptual information that can be extracted easily, efficiently, and robustly in the form of nested local shape symmetries at multiple scales. The mos...
A Comparative evaluation of foreground / background segmentation algorithms Pakyürek, Muhammet; Akar, Gözde; Department of Electrical and Electronics Engineering (2012) Foreground Background segmentation is a process which separates the stationary objects from the moving objects on the scene. It plays significant role in computer vision applications. In this study, several background foreground segmentation algorithms are analyzed by changing their critical parameters individually to see the sensitivity of the algorithms to some difficulties in background segmentation applications. These difficulties are illumination level, view angles of camera, noise level, and range of ...
Image Annotation With Semi-Supervised Clustering Sayar, Ahmet; Yarman Vural, Fatoş Tunay (2009-09-16) Methods developed for image annotation usually make use of region clustering algorithms. Visual codebooks are generated from the region clusters of low level features. These codebooks are then, matched with the words of the text document related to the image, in various ways. In this paper, we supervise the clustering process by using three types of side information. The first one is the topic probability information obtained from the text document associated with the image. The second is the orientation an...

Citation Formats

E. Akbaş and F. T. Yarman Vural, “A comparison of fuzzy ARTMAP and AdaBoost methods in image retrieval problems Görüntü erişiminde bulanik ARTMAP ve AdaBoost yöntemlerinin karşilaştirmasi,” 2005, vol. 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40532.