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In emotion recognition, a widely-used method to reconciliate disagreement between multiple human evaluators is to perform majority-voting on their assigned class labels. Instead, we propose asking evaluators to rank emotional categories given an audio clip, followed by a combination of these ranked lists. We compare two well-known ranked list voting methods - Borda count and Schulze's method, with...
Guitar audio transcription is the process of generating a human-interpretable musical score from guitar audio. The musical score is presented as guitar tablature, which indicates what notes are played and where they are played on the guitar fretboard. Automatic transcription remains a challenge with polyphonic sounds as those generated by a guitar. The guitar adds more ambiguity to the transcription...
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. However, most approaches to N-Normalization parametrize the method arbitrarily in an ad-hoc manner. In this paper, we show that the optimal parameterization is tightly related to the geometry of the problem at hand. For that purpose,...
ITU-R BS.1387 states a method for objective assessment of perceived audio quality. This Recommendation, known also as PEAQ (Perceptual Evaluation of Audio Quality) is based on a psychoacoustic model of the human ear and was standardized by the International Telecommunications Union as an alternative to subjective tests, which are expensive and time-consuming processes. PEAQ combines various physiological...
Most replication-based packet forwarding algorithms in opportunistic networks neglect the fairness issue on the success rate distribution among all participants. In this paper we discuss the fairness evaluation on success rate, and propose a new fair packet forwarding strategy which operates as a plugin for traditional utility-based routing protocols. We compare the performance of our strategy with...
Flexible interactions in complex social and service-oriented collaboration systems increasingly demand for automated adaptation techniques to optimize partner discovery and selection. Today, applications of complex service-oriented systems can be found in crowd sourcing environments. In such environments, collaborations are typically short-lived and strongly influenced by incentives and actor behavior...
The quality assessment of images is of fundamental importance for most image applications. Structural similarity measure (SSIM) has been widely used which is very easy to calculate but it has been proved not so good in some cases such as Gaussian noise image and blurred image. In this paper we present a novel objective image quality index which is also very easy to calculate and applicable to various...
Fleets of aerospace equipment are managed through carefully controlled supply chain processes. When any of the planning assumptions are no longer valid, an unexpected demand on maintenance and supply can develop, reducing the availability of equipment. Earlier detection of unexpected trends in demand can mitigate their impact. Systematic failures of components in man-made fleets bear an analogy to...
Implementing guidance, navigation, and control (GN&C) theory principles and applying them to the human element of project management and control is not a new concept. As both the literature on the subject and the real-world applications are neither readily available nor comprehensive with regard to how such principles might be applied, this paper has been written to educate the project manager...
Any changes for maintenance or evolution purposes may break existing working features, or may violate the requirements established in the previous software releases. Regression testing is essential to avoid these problems, but it may be ended up with executing many time-consuming test cases. This paper tries to address prioritizing requirements-based regression test cases. To this end, system-level...
Fast automated labeling of the human cerebral cortex remains a challenging problem. We have implemented a completely automated pipeline to analyze brain morphology. For labeling of the cerebral cortex, a spherical diffeomorphic demons registration is used to drive an atlas surface into correspondence with the subject surface. This study focuses on identifying features or combination of features that...
The application of techniques from artificial intelligence, human decision-making processes, optimization, and learning methodologies have led to significant development in the field of cognitive radios. A cognitive radio improves on a traditional radio by incorporating situational awareness, learning, and decision-making to meet the application goals and adapt to the current operating environment...
Situation awareness (SA) is a prerequisite to timely and accurate decision-making in the fast and highly stressful context of infantry operational environments. The introduction of electronic support technologies onto the battlefield is expected to improve SA by providing the right information, at the right time, and in the right format. In the cur rent paper, we report a systematic and innovative...
This work aims to solve a routing problem in order to cover a region where a set of areas should be revisited as soon as possible, denominated critical areas. The objective is to find an efficient route that minimizes the maximum time that these areas remain uncovered. To solve the problem we propose an interactive approach that considers both human and automated interference in the process. The results...
Semantic similarity techniques are used to compute the semantic similarity (common shared information) between two concepts according to certain language or domain resources like ontologies, taxonomies, corpora, etc. Semantic similarity techniques constitute important components in most Information Retrieval (IR) and knowledge-based systems. Taking semantics into account passes by the use of external...
Coupled degrees-of-freedom exhibit correspondence, in that their trajectories influence each other. In this paper we add evidence to the hypothesis that spatiotemporal correspondence (STC) of distributed actuators is a component of human-like motion. We demonstrate a method for making robot motion more human-like, by optimizing with respect to a nonlinear STC metric. Quantitative evaluation of STC...
This paper reports on the analysis of video footage of a human-robot study in public place regarding context factors that significantly influence the interaction. A coding scheme was developed and then used to analyze the footage. To ensure the validity of the coding, the footage was coded independently by two students and afterwards the Cohen's Kappa was calculated to ensure the intercoder reliability...
Gaze direction is an important communicative cue. In order to use this cue for human-robot interaction, software needs to be developed that enables the estimation of head pose. We began by designing an application that is able to make a good estimate of the head pose, and, contrary to earlier head pose estimation approaches, that works for non-optimal lighting conditions. Initial results show that...
The evaluation of vehicle steering systems has typically been performed by engineers and consumer focus groups using in-vehicle and automotive simulator studies. In the latter case, driver preferences have been extensively gathered using written questionnaires. However, this delays the testing procedure and may introduce outside influences that may skew the results. In this paper, an objective steering...
This paper presents an initial system design approach for a data association process in the domain of counterinsurgency where multiple streaming soft (textual message) observation reports are a critical input to the process. An overview of the system includes processes from intelligent input control of soft data to the formation of associated, merged messages that are based on a methodology employing...
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