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In this work, we survey the performance of various feature encoding models for geographic image retrieval task. Recently introduced Vector-of-Locally-Aggregated Descriptors (VLAD) and its Product Quantization encoded binary version VLAD-PQ are compared with the widely used Bag-of-Word (BoW) model. Evaluation results are shown on a publicly available 21-class LULC dataset. With experiments, it is shown...
Before analysing cells in Laboratory in prostate cancer detection, a classification system can give valuable information about the cancer. In this study, classification of prostate cancer classification was realized by Artificial Immune Systems (AIS) and Artificial Neural Networks (ANN). 50 data were used in which 17 data belong to healty persons, 33 data belong to patients. Training-test data which...
In this study an array structure formed by four split ring resonators (SRR) has been used as the radiating part of the antenna. Due to the coupling between resonators placed in proper distances along the propagation direction, two mode of radiation has been shown by numerical calculations. Changing the distance between SRR couples shifts the resonance frequencies and affects return loss values associated...
The past over the years, single or multi-dimensional signal processing applications, communication systems, biomedical signal processing, word coding, sub-band coding in applications such as efficient use filter banks; single filter instead of multiple custom filters come together with being designed. In this study, two-channel filter banks a special case known as the QMF (Quadrature Mirror Filter...
Real-time location tracking of mobile vehicles, people and items is of great significance in areas such as security, navigation and inventory control in supply chains. Most indoor location estimation methods use multiple base stations, which increases the system cost and complexity. In this work, the localization performance of ultra high frequency radio frequency identification (RFID) based system...
In this work human action recognition problem was discussed in video sequences. Solution of the problem was studied in three stages. Firstly, points of interest were detected with preproccesing and these points which are called cuboids were declared in small windows, then feature extraction was performed and finally, human action is decided by using classification. Features extraction is not only...
In this study, is aimed to estimated of the region which observed on the screen by the artificial neural network (ANN) trained with using images of laptop user. Study were formed of two phases. In the first stage, an ANN has been developed for determining eye region in the captured image with webcam. In the second stage, the data obtained from the eye region are used for training of another ANN which...
In this paper we propose a new hyperplane fitting classification method that does not have limitations of the existing hyperplane fitting classifiers. There are two principal improvements of the proposed method: It returns sparse solutions and it is suitable for large-scale problems. Both advantages are accomplished by using a simple trick, which constraints positive samples to lie between two parallel...
Remote sensing is actively used in observation of the nature. Synthetic aperture radar (SAR) systems are capable of obtaining physical based data under day/night and clear/cloudy sky situations. With sensitivity over the physical changes, they have importance in monitoring of agricultural areas. Paddy rice has been a widely used crop in the World, which requires wetland areas. In Turkey, it is mainly...
In this study we segmented brain MR images into constituent tissues using a neuro-fuzzy inference system. We segmented T1, T2 and FLAIR MR images of the patients with glial tumor into white matter, gray matter, cerebrospinal fluid and diseased tissues as edema and tumor. We retained only brain tissue in the images by stripping the skull that is beyond the scope of this study. We used statistical features...
Referees are one of the key elements of the soccer. There are many situations where the referee mistakes affect the game scores. For a successful game management, referees have to be in the right place at the right time with the right point of view. In this paper, the running styles, duration and field usage of the referees during soccer games were analyzed using Global Positioning System (GPS) data...
Raised-Cosine filters with over-sampled input/output are used to limit spectral bandwidth of the communication signals. Over-sampling inherently increases the number of required components in FIR filters. We aimed to reduce the number of scarse and frequently needed resources, multipliers (or selectors) and adders, and replace them with the counters and storage elements that are abundant in FPGA's...
In this study, histograms of Turkish phones were examined using higher order cumulants. As is known, phones constituting a language, are composed of letters as vowels and consonants. These letters can also be grouped as voiced and unvoiced phones. It is observed that unvoiced letters show a Gaussian-like distribution and result in small values of skewness and kurtosis. On the other hand, vowels and...
Relations between entities constitute the most important fundamental parts of semantic search technologies. The products that use semantic search technologies include datastores which keep relations between entities in their infrastructures. Various Relation Extraction applications are done in the extraction of the relations between entities. In this study, Conditional Random Fields has been used...
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