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Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems
(IEEE, 2017-09)
Service robots are expected to play an important role in our daily lives as our companions in home and work environments in the near future. An important requirement for fulfilling this expectation is to equip robots with ...
Mirror neurons: Functions, mechanisms and models
(Elsevier, 2013-04-12)
Mirror neurons for manipulation fire both when the animal manipulates an object in a specific way and when it sees another animal (or the experimenter) perform an action that is more or less similar. Such neurons were ...
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
(The ACM Digital Library, 2018-02)
A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ...
Variational closed-Form deep neural net inference
(Elsevier, 2018-09)
We introduce a Bayesian construction for deep neural networks that is amenable to mean field variational inference that operates solely by closed-form update rules. Hence, it does not require any learning rate to be manually ...
Model-based software product line testing by coupling feature Mmodels with hierarchical Markov chain usage models
(IEEE, 2016)
Model-based testing automates test case generation based on usage models of a system. In this paper, we introduce an approach for systematic reuse of these models for testing a large family of products. In our approach, ...
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
(IEEE, 2012)
Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly ...
Analysis of speaker similarity in the statistical speech synthesis systems using a hybrid approach
(IEEE, 2012)
Statistical speech synthesis (SSS) approach has become one of the most popular and successful methods in the speech synthesis field. Smooth speech transitions, without the spurious errors that are observed in unit selection ...
Rafinerilerdeki büyük veri problemlerine gerçek-zamanlı veri uzlaştırma çözümleri
(IEEE, 2014)
Rafineriler tonlarca ham petrolün, her gün faklı kimyasal işlemden geçirilerek benzine ve diğer yan ürünlere dönüştürüldüğü dev endüstriyel tesislerdir. Bu makalede sensör-tabanlı petrol rafinelerine özel endüstriyel büyük ...
Feature-based rationale management system for supporting software architecture adaptation
(World Scientific Publishing Co., 2012-11)
Each software architecture design is the result of a broad set of design decisions and their justifications, that is, the design rationale. Capturing the design rationale is important for a variety of reasons such as ...
A machine learning approach for mechanism selection in complex negotiations
(Springer Nature, 2018-04)
Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A ...
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