Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Erhan Gokcay"'
Publikováno v:
Multimedia Tools and Applications. 81:31349-31362
Autor:
Erhan Gokcay
Publikováno v:
Information Sciences. 536:263-276
Classification algorithms are used in many areas to determine new class labels given a training set. Many classification algorithms, linear or not, require a training phase to determine model parameters by using an iterative optimization of the cost
Autor:
Erhan Gokcay
Publikováno v:
Cloud Computing and Service Science ISBN: 9783319949581
CLOSER (Selected Papers)
CLOSER (Selected Papers)
Cloud technology provides many advantages and provides many services over traditional computational models. Although the provided virtual services increase resource sharing and cost effectiveness of the system, each node in the system is still centra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baee43e67469e74dc8a3c7950d81c0ce
https://doi.org/10.1007/978-3-319-94959-8_3
https://doi.org/10.1007/978-3-319-94959-8_3
Publikováno v:
ICECS
Steganography is the art of hiding information in something else. It is favorable over encryption because encryption only hides the meaning of the information; whereas steganography hides the existence of the information. The existence of a hidden im
Publikováno v:
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON).
This paper presents an Internet of Things (IoT) framework which is specially designed for assisting the research and rescue operations targeted to collapsed buildings aftermath of an earthquake. In general, an IoT network is used to collect and proce
Autor:
Mark H. Ellisman, Henri Casanova, Rich Wolski, Stuart Pomerantz, Thomas M. Bartol, Joel R. Stiles, Terry Sejnowski, Jack Dongarra, M. Faerman, Adam Birnbaum, Francine Berman, Graziano Obertelli, Michelle L. Miller, Erhan Gokcay
Publikováno v:
The International Journal of High Performance Computing Applications. 18:3-17
Ensembles of widely distributed, heterogeneous resources, or Grids, have emerged as popular platforms for largescale scientific applications. In this paper we present the Virtual Instrument project, which provides an integrated application execution
Autor:
Jose C. Principe, Erhan Gokcay
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 24:158-171
Clustering is an important topic in pattern recognition. Since only the structure of the data dictates the grouping (unsupervised learning), information theory is an obvious criteria to establish the clustering rule. The paper describes a novel valle
Publikováno v:
2009 4th International Conference on Recent Advances in Space Technologies.
Information retrieval from high resolution remotely sensed images is a challenging issue due to the inherent complexity and the curse of dimensionality of data under study. This paper presents an approach for building detection in high resolution rem
Autor:
Jose C. Principe, Erhan Gokcay
Publikováno v:
ICASSP
Clustering is an important unsupervised learning paradigm, but so far the traditional methodologies are mostly based on the minimization of the variance between the data and the cluster means. Here we propose a new evaluation function based on a prev