Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 263, listelenen: 223-242
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The Visual Object Tracking Vot2016 Challenge Results
(Springer International Publishing Ag, 2016)The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number ... -
Topic Model Based Recommendation System To Identify Operations That Are Missing In The Treatment
(Fen Bilimleri Enstitüsü, 2019)In the medical field, although it is extremely important and a legal obligation to record the pro-cedures applied to patients by the health personnel, generally the operation lists are incomplete. Omissions in the operation ... -
Topic Model Based Recommendation Systems Retailers
(Fen Bilimleri Enstitüsü, 2016)Nowadays, sellers need very good strategy to keep their customers’ loyalty and to attract new customers to their shops. One of the important ways to accomplish this task is to present new and interesting items to their ... -
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(Fen Bilimleri Enstitüsü, 2021)Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ... -
Tree Structured Dirichlet Processes For Hierarchical Morphological Segmentation
(Mit Press, 2018)This article presents a probabilistic hierarchical clustering model for morphological segmentation. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word ... -
Turkish Lexicon Expansion By Using Finite State Automata
(2019)Turkish is an agglutinative language with rich morphology. A Turkish verb can have thousands of different word forms. Therefore, sparsity becomes an issue in many Turkish natural language processing (NLP) applications. ... -
Turkish Video Captioning with Msvd-Turkish Dataset
(Fen Bilimleri Enstitüsü, 2020)The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ... -
Türkçe Ağızların Tanınmasında Derin Öğrenme Tekniğinin Kullanılması
(Fen Bilimleri Enstitüsü, 2019-02)Automatic speech recognition systems are used to translate speech sounds into text. The performance of the automatic speech recognition system in any language is dependent on the speaker gender and emotion as well as ... -
Türkçe Dizi Etiketleme İçin Sinir Ağ Modelleri
(Fen Bilimleri Enstitüsü, 2019)Because of the inflection of many word forms from the same root in agglutinative languages such as Turkish, modeling the words as a whole causes sparsity problem. Therefore, rather than handling the word as a whole, ... -
Türkçe Haber Benzerliklerinin Belirlenmesinde Varlık İsimlerinin Hikaye Bağlantı Algılama Görevinin Başarımına Etkisi
(Fen Bilimleri Enstitüsü, 2015)This thesis aims to test the performance of the Story Link Detection (SLD) task aspart of the Topic Detection and Tracking (TDT) program using different similarityfunctions and test their combinations performance on named ... -
Türkçe His Analizinde Optimizasyon ve Öneğitimli Modellerin Kullanımı
(Fen Bilimleri Enstitüsü, 2020-12-11)Emotion analysis means to automatic determination of the emotions in any digital content. It has become a necessity to distill and evaluate with emotion analysis the big data that emerged as a result of the dizzying ... -
Türkçe İçin Sahte Haber Tespit Modelinin Oluşturulması
(Fen Bilimleri Enstitüsü, 2020)The transformation of print media into online media along with the increasing use of the internet and social media as news sources have drastically altered the concept of media literacy and people's habit of getting news. ... -
Two-Person Interaction Recognition Via Spatial Multiple Instance Embedding
(Academic Press Inc Elsevier Science, 2015)In this work, we look into the problem of recognizing two-person interactions in videos. Our method integrates multiple visual features in a weakly supervised manner by utilizing an embedding-based multiple instance learning ... -
Tıbbi Laboratuvarlarda Kalite Maliyet Ölçütlerinin İyileştirilmesi Üzerine Bir Araştırma
(Fen Bilimleri Enstitüsü, 2018)Health care quality is significantly rising interest in many health fields in recent years. Value provided by any health care resources as determined by some measurements. Such as, laboratories, medical diagnosis like ... -
Uçtan-Uca Konuşma Tanıma Modeli: Türkçe'deki Deneyler
(Fen Bilimleri Enstitüsü, 2018)For decades, the main components of Automatic Speech Recognition (ASR) systems have been pronunciation dictionary and Hidden Markov Models (HMMs). HMMs assume conditional independence between its output and creating the ... -
Understanding Actions in Instructional Videos
(Fen Bilimleri Enstitüsü, 2023)Despite the promising improvements in human activity recognition for fundamental actions, understanding actions in instructional web videos is a challenging research problem. Instructional web videos contain various ... -
UNSUPERVISED JOINT PART-OF-SPEECH TAGGING AND STEMMING FOR AGGLUTINATIVE LANGUAGES
(Fen Bilimleri Enstitüsü, 2017)Part of Speech (PoS) tagging is the task of assigning each word an appropriate part of speech tag in a given sentence regarding its syntactic role such as verb, noun, adjective etc. Various approaches have already been ... -
Unsupervised Video Summarization With Independently Recurrent Neural Networks And Multiple Rewards
(Fen Bilimleri Enstitüsü, 2019)Video summarization, one of the interesting research areas that has significant acceleration in recent years, is producing shorter and concise videos that represent the content of long videos as diversely as possible. It ... -
Use Of Acoustic Prior Information For Confidence Measure In Asr (Automatic Speech Recognition) Applications
(Acoustical Soc Amer Amer Inst Physics, 2005)In this paper, a new acoustic confidence measure of automatic speech recognition hypothesis is proposed and it is compared to approaches proposed in the literature. This approach takes into account prior information on the ... -
Utilization of Local and Global Image Descriptors for Phishing Web Page Identifıcation
(Fen Bilimleri Enstitüsü, 2020)In recent years, the use of the Internet has increased in all areas of life, thus many cyber- attacks have emerged. These attacks aim to steal users' private information such as passwords, credit cards. During phishing ...
