Trivia is any fact about an entity which is interesting due to its unusualness, uniqueness or unexpectedness. Trivia could be successfully employed to promote user engagement in various product experiences featuring the given entity. A Knowledge Graph (KG) is a semantic network which encodes various facts about entities and their relationships. In this paper, we propose a novel approach called ...

Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other cameras. In the early days, hand-crafted algorithms and small-scale evaluation were predominantly reported. Recent years have witnessed the emergence of large-scale datasets and deep learning systems which make use ...

There has been a flurry of recent work on the design of high performance software and hybrid hardware/software transactional memories (STMs and HyTMs). This paper reexamines the design decisions behind several of these stateof-the-art algorithms, adopting some ideas, rejecting others, all in an attempt to make STMs faster. The results of our evaluation led us to the design of a transactional lo...

USING MULTIPLE SOURCES OF INFORMATION FOR CONSTRAINT BASED MORPHOLOGICAL DISAMBIGUATION G okhan T ur M S in Computer Engineering and Information Science Supervisor Asst Prof Kemal O azer July This thesis presents a constraint based morphological disambiguation approach that is applicable to languages with complex morphology speci cally agglutina tive languages with productive in ectional and de...

User-machine interaction is important for spoken content retrieval. For text content retrieval, the user can easily scan through and select on a list of retrieved item. This is impossible for spoken content retrieval, because the retrieved items are difficult to show on screen. Besides, due to the high degree of uncertainty for speech recognition, the retrieval results can be very noisy. One wa...

Vehicle dynamics is typically handled by models whose parameters are found through system identification or manually computed from the vehicle’s characteristics. While these methods provide accurate theoretical dynamical models, they may not take into account differences between individual vehicles, lack adaptability to new environments and may not handle sophisticated models, requiring hand-cr...

Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-based NLP systems impractical for real-world applications because they cannot be easily scaled up or po...

the nocturnal harmony of wood orchestra, reza ghassemi’s first novel, is a rare example of iranian postmodernist novel. though the novel has a complicated structure, it is still well-crafted, readable and pleasing, a virtue that very often is not observed in persian postmodernist novels. the present study analyzes the novel in the light of such terms as metafiction, ontological ambiguity, short...

In this paper, we propose a new deep network that learns multi-level deep representations for image emotion classification (MldrNet). Image emotion can be recognized through image semantics, image aesthetics and low-level visual features from both global and local views. Existing image emotion classification works using hand-crafted features or deep features mainly focus on either low-level vis...

Over the last two decades, hand-crafted feature extractors have been used in order to compose image representations. Recently, Representation Learning have been explored as a way of producing more intelligent features. In this work, we proposed two approaches of a Representation Learning method which aims to provide more effective and compact image representations. It uses Genetic Algorithm to ...