Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
In this paper we propose a multiple layer model for object detection and sketch representation. Unlike most traditional detection models focusing on the object localization, we investigate both the object detection and sketch representation within an unified framework. Based on the multiple layer architecture, our model can provide the sketch information of the detected object. Meanwhile, we generalize...
Texture image retrieval system using contourlet transform has better performance than the same structure system based on wavelet transform due to contourlet's better directional information representation than wavelet transform. In order to improve the retrieval rate further, a dual-tree complex contourlet transform based texture image retrieval system was proposed in this paper. In the system, the...
To improve the retrieval rate of contourlet transform retrieval system,a new contourlet retrieval system was proposed.The feature vectors were constructed by cascading the absolute mean energy and kurtosis of each sub-band contourlet coefficients and the similarity measure used here is Canberra distance. Experimental results on 109 brodatz texture images show that using the features cascaded by absolute...
To improve the retrieval rate of contourlet transform texture image retrieval system, a new texture image retrieval system was proposed. In the system, contourlet-S, which was a combination of non-subsampled Laplacian Pyramid and critical subsampled directional filter banks, was used to extract directional information of different scales. Generalized Gaussian Density (GGD) model parameters were cascaded...
Aiming at improving the retrieval rate of the original contour let transform based texture image retrieval system, a non-sub sampled contour let transform based texture image retrieval system was proposed. Generalized Gaussian Density (GGD) model parameters were cascaded to form feature vectors and Kullback-Leibler distance (KLD) function was used for similarity measure. Experimental results on 640...
Contourlet transform has better performance in directional information representation than wavelet transform and has been studied by many researchers in retrieval systems and has been shown that it is superior to wavelet ones at retrieval rate. In order to improve the retrieval rate further, an anti-aliasing contourlet-1.3 transform based texture image retrieval system was proposed in this paper....
In recent years, with new services expected, such as navigation systems, location based services, and augmented reality, the need for automatically, efficient 3D building reconstruction systems becomes more urgent than ever. As a new spatial information technology, airborne LiDAR is widely used for the acquisition of 3D objects on the earth. The automatic reconstruction of 3D buildings from airborne...
Today, the embedded systems field is growing rapidly, ranging from low-end systems such as cellular phones, PDAs, smart cards to high-end systems such as gateways, firewalls, storage servers, and web server. Security of embedded system becomes a paramount issue in embedded system design. Compared to an embedded system's functionality and other design metric (e.g., area, performance, power), security...
Due to the complexity of real task for learning, the learning algorithms based on ERM (empirical risk minimization) principle always have good fit for the training samples, but bad prediction for future samples. SVM(support vector machine) as a new kernel learning algorithm has embodied Vapnik's SRM (structure risk minimization) principle. It overcomes the problem for ERM posing by optimizing the...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.