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Deafblind and hearing impaired persons cannot perceive their own voice pitch, and thus have difficulty controlling it. While singing, the voice pitch needs to be controlled to maintain a stable tone. To address this problem, a tactile voice pitch control system was developed to assist such people in singing. In a previous study, two deafblind subjects used the proposed system to control their voice...
Ranking objects is an essential problem in recommendation systems. Since comparing two objects is the simplest type of queries in order to measure the relevance of objects, the problem of aggregating pair wise comparisons to obtain a global ranking has been widely studied. In order to learn a ranking model, a training set of queries as well as their correct labels are supplied and a machine learning...
Rules inferring the memberships to single decision classes have been induced in rough set approaches and used to build a classifier system. Rules inferring the memberships to unions of multiple decision classes can be also induced in the same manner. In this paper, we show the classifier system with rules about the union of multiple decision classes has an advantage in the accuracy of classification...
Robotic technologies provide objective, highly reliable tools for assessment of brain function following stroke. KINARM is an exoskeleton device that quantifies sensorimotor brain function using a visually guided reaching task among many other behavioral tasks. As further tasks are developed to more broadly assess different aspects of behavior using the robot, techniques and approaches are required...
This paper addresses the evaluation of the digital elevation model (DEM) generated by single pass SAR interferometry using an X-band airborne SAR (Pi-SAR2). In this paper we describe the evaluation experiments by using corner reflectors and show the result of the height accuracy on DEM by the cross-track interferometric function of Pi-SAR2.
In partial duplicate image retrieval systems, min-Hash algorithms are widely used because of its high efficiency and robustness. In most of min-Hash algorithms, min-Hash functions are considered independent and grouped into tuples called sketches, the discriminative power of sketches are limited. By modeling correlations of min-Hash functions, we propose a novel sketch construction method called Nonpara-metric...
Stitching images with repeated patterns is one of the hard tasks in computer vision. Unfortunately, available algorithms do not have enough accuracy to register these kinds of images. This problem is due to lack of discriminative information of corresponding points of images. To overcome this shortcoming, a novel method for feature-based image stitching is proposed. In the proposed method, the SIFT...
In medical fields rule based classifiers have an advantage over black box classifiers, because they are understandable and can be integrated into human's knowledge base to assist clinicians in decision-making. This paper proposes a new classification rule inducing algorithm. In comparison with standard rough sets theory it calculates value core without attribute reduction in advance and does not remove...
This letter presents a novel non-line-of-sight (NLOS) localization scheme based on the concept of virtual reference device. The position of virtual reference device for each NLOS path can be determined if the initial mobile device position can be estimated or when the mobile device transits from LOS to NLOS region. With the position of virtual reference devices, the subsequent localization of mobile...
The task of learning action rules aims to provide recommendations to analysts seeking to achieve a specific change. An action rule is constructed as a series of changes, or actions, which can be made to the flexible characteristics of a given object that ultimately triggers the desired change. Existing action rule discovery methods utilize a generate-and-test approach in which candidate action rules...
In traditional localization systems, it is required that moving object carries a device to transmit or receive signals, and then localization system is able to locate an object based on signal strength it received. In this paper, we propose a new passive localization and tracking approach based on RFID with sparse reference tags, which can estimate the location of moving objects by detecting and analyzing...
WHOIS acts as a registry for organisations or individuals who "own" or take responsibility for domains. For any registry to be functional, its integrity needs to be assured. Unfortunately, WHOIS data does not appear to meet basic integrity requirements in many cases, reducing the effectiveness of law enforcement and rightsholders in requesting takedowns for phishing kits, zombie hosts that...
This paper is a report on the findings of a trial web-based test conducted on English as a Foreign Language (EFL) learners in Japan after the two-year qualitative analysis on our own computer-based tests. Through the two years of small scale surveys to detect the efficiency of two newly developed types of computer-based tests, we found that the levels of vocabulary knowledge, along with the learners'...
We are not aware of any previous systematic investigation of how well human examiners perform at identity verification using the same type of images as acquired for automated iris recognition. This paper presents results of an experiment in which examiners consider a pair of iris images to decide if they are either (a) two images of the same eye of the same person, or (b) images of two different eyes,...
Bag-of-words deception detection systems outper-form humans, but are still not always accurate enough to be useful. In interrogation settings, the language of questions influences the language of responses. We develop a technique to correct for such influences and apply it to question-and-answer datasets. Surprisingly, such correction is not sufficient - those being deceptive react to prompting words...
In many practical situations, we need, given the values of the observed quantities x1;…; xn, to predict the value of a desired quantity y. To estimate the accuracy of a prediction algorithm ƒ(x1; … xn), we need to compare the results of this algorithm's prediction with the actually observed values.
POI updates have a direct influence on data up-to-date state, thereby affecting the data value of POI. Aimed at solving the problem facing POI rapid and accurate update, an update approach for POI based on Weibo check-in data is brought forward in this paper. Firstly, regarding to the quality issue of check-in data, a pre-processing approach with spatial registration is proposed. Then, a POI data...
Precise estimation of frequency and phasor has become important in electrical power grids. Knowledge of phasor enables localization of faults, calculation of active and reactive power flows, determination of electrical parameters of system components (lines, transformers), etc. In this paper we present a new method for frequency and phasor assessment. Frequency assessment is done by applying statistical...
Overproduce-and-select (OPAS) is a frequently used paradigm for building ensembles. In static OPAS, a large number of base classifiers are trained, before a subset of the available models is selected to be combined into the final ensemble. In general, the selected classifiers are supposed to be accurate and diverse for the OPAS strategy to result in highly accurate ensembles, but exactly how this...
There are a lot of methods for identification of the Strejc model parameters. The well known graphical method based on the step response can lead to a large error when the step response is disturbed by a random noise. The integral methods of identification, proposed in the paper, allows a reduction of the influence of the disturbances. The special attention was paid to the analysis of the impact of...
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