Ara
Toplam kayıt 9, listelenen: 1-9
Algoritmik kaynaşım yöntemiyle plaka tanıma sistemlerinin performansının artırılması
(2011)
Bu bildiride, bilgisayarlı görü ve örüntü tanıma alanlarında çok önemli bir yeri olan plaka tanıma sistemlerinin performansını artırmak amacıyla algoritmik kaynaşım yöntemini önermekteyiz. Plaka tanıma sistemleri genellikle ...
El yazısı rakam sınıflandırması için gözetimsiz benzerlik tabanlı evrişimler
(Institute of Electrical and Electronics Engineers Inc., 2022)
Effective training of filters in Convolutional Neural Networks (CNN) ensures their success. In order to achieve good classification results in CNNs, filters must be carefully initialized, trained and fine-tuned. We propose ...
Mülteci barınaklarının uydu görüntülerinden çoklu-sınıflı çizge-kesme bölütleme ve gölge bilgisi kullanılarak otomatik sezimi
(IEEE, 2014-04-23)
Bu çalışmada, mülteci kamplarında bulunan yaşam
alanlarının/barınakların (çadır, konteynır vb.) uydu ve hava görüntülerinden otomatik olarak sezimi ve sayımına yönelik bir yöntem tanıtılmaktadır. Mülteci kamplarındaki ...
Battle damage assessment based on self-similarity and contextual modeling of buildings in dense urban areas
(IEEE, 2016)
Assessment of battle damages is significant both for tactical planning and for after-war relief efforts. In this study damaged buildings are detected using self-similarity descriptor in pre- and post-war satellite images. ...
A haar classifier based call number detection and counting method for library books
(IEEE, 2018-12-06)
Counting and organization of books in libraries is a routine and time-consuming task The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number ...
Closeness and uncertainty aware adversarial examples detection in adversarial machine learning
(Elsevier Ltd, 2022-07)
While deep learning models are thought to be resistant to random perturbations, it has been demonstrated that these architectures are vulnerable to deliberately crafted perturbations, albeit being quasi-imperceptible. These ...
Unreasonable effectiveness of last hidden layer activations for adversarial robustness
(Institute of Electrical and Electronics Engineers Inc., 2022)
In standard Deep Neural Network (DNN) based classifiers, the general convention is to omit the activation function in the last (output) layer and directly apply the softmax function on the logits to get the probability ...
Saliency detection based on hybrid artificial bee colony and firefly optimization
(Springer Science and Business Media Deutschland GmbH, 2022-11)
Saliency detection is one of the challenging problems still tackled by image processing and computer vision research communities. Although not very numerous, recent studies reveal that optimization-based methods provide ...
A sequential Monte Carlo method for blind phase noise estimation and data detection
(IEEE, 2005)
In this paper, a computationally efficient algorithm is presented for blind phase noise estimation and data detection jointly, based on a sequential Monte Carlo method. The basic idea is to treat the transmitted symbols ...