Search
Now showing items 1-10 of 21
Why the Names? Anubanini and His Clan in the Cuthaean Legend
(2014)
This article is a study of the ancient Mesopotamian literary text known as the 'Cuthaean Legend'. This Naram-Sin legend is known from several versions in the extant cuneiform corpus of texts (Westenholz 1997). The names ...
Skeleton Branch Distances for Shape Recognition
(IEEE, 2015)
In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances between ...
Efficient Shape Recognition with Skeleton Filling Rate
(IEEE, 2014)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by ...
Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7)
(Vandenhoeck & Ruprecht, 2017-12)
This article introduces an automated image matching technique called Scale Invariant Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform signs. The Nabonidus Chronicle (II, 16), which ...
2D and 3D shape retrieval using skeleton filling rate
(Springer, 2017-03)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based algorithm for 2D and 3D shape retrieval. The ...
Comparison of Three Different CNN Architectures for Age Classification
(IEEE, 2017)
As one of the powerful tools of machine learning, Convolutional Neural Network (CNN) architectures are used to solve complex problems like image recognition, video analysis and natural language processing. In this paper, ...
3D Shape Recognition: Enhanced Skeletal Points
(IEEE, 2015)
Digital video production is increasing day after day and the effectiveness and efficiency of the image recognition mechanism has became increasingly important. In this study, a new skeleton-based shape recognition algorithm, ...
Distance Measure Functions with Enhanced Skeletal Points for 2D and 3D
(IEEE, 2016)
The more digital image production increase, the more effectiveness and productivity of image recognition mechanism and comparison techniques become important. In this study, comparative experiments are made for distribution ...
Cifar-10 Image Classification with Convolutional Neural Networks For Embedded Systems
(IEEE, 2018)
Convolutional Neural Networks (CNN) have been successfully applied to image classification problems.Although powerful, they require a large amount of memory. The purpose of this paper is to perform image classification ...
Efficient Near-duplicate Image Detection with Created Feature Subset
(IEEE, 2016)
The creation of distinctive subset of the interest points for near-duplicate image detection is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive ...
