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Density estimation based visual object counting (DE-VOC) methods estimate the counts of an image by integrating over its predicted density map. They perform effectively but inefficiently. This paper proposes a fast DE-VOC method but maintains its effectiveness. Essentially, the feature space of image patches from VOC can be clustered into subspaces, and the examples of each subspace can be collected...
Zero-shot learning (ZSL) aims to classify the objects without any training samples. Direct Attribute Prediction (DAP) gives a solution with attribute space but it makes the assumption of attribute independence. To relax this assumption and consider the relation among attributes, Joint Attribute Chain Prediction (JACP) algorithm is proposed in this paper. It estimates the joint probability of attribute...
Facial age estimation is an important and challenging problem in computer vision and pattern recognition. Linear canonical correlation analysis (CCA) has been widely applied owing to low complexity, small and fixed amount of model parameters and good scalability. However, linear CCA based regression gets lower accuracy than its kernel version on the age estimation problem. The inexactness of metric...
This paper surveys some recent results regarding the Cramér-Rao Lower Bound (CRLB) — the requirements for its existence and its extension to the situation where the parameter's likelihood function (LF) support depends on the parameter to be estimated. In the latter case the conventional CRLB does not hold in general. First we revisit the derivation of the CRLB to elucidate the necessary and sufficient...
Cell structures are observed in numerous types of images and there are a lot of structural estimators. Artificially generated images allow testing of them, because many of them are heuristic and sensitive to small structure changes. Coupling effect occurs additionally between them is important in pattern recognition application design. Proposed model gives sequence of images for evaluation purposes...
This paper studies the problem of simultaneous deciding on hypotheses and estimating a random parameter. We propose a joint decision and estimation (JDE) formulation, which amounts to minimizing a risk related to both decision and estimation while decision performance is also constrained within a tolerable level. The risk used in this paper is a weighted sum of estimation costs conditioned on correct...
Automated identification and characterization of clustered weld defects, which comprise a plural of closely distributed individual member defects, is challenging. In this paper, time, Cartesian and Polar domain features in phased array ultrasonic sectorial scanning data are studied to segment clustered weld defect echoes by density based and K-means clustering. Through multiple domain segmentation,...
This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett's synchrophasor software development kit (S3DK), to receive...
Application of neural networks for direct prediction of lateral-directional force and moments coefficients from the measured flight data of the research aircraft is proposed in this paper. Proposed model of neural networks appears to be a suitable practical approach to develop relationship between flight variables. This relationship eliminates the need of aerodynamic model as well as thrust model...
Estimation eye gaze direction is useful in various human-computer interaction tasks. Knowledge of gaze direction can give valuable information regarding users point of attention. Certain patterns of eye movements known as eye accessing cues are reported to be related to the cognitive processes in the human brain. We propose a real-time framework for the classification of eye gaze direction and estimation...
This paper is devoted to the description of software for statistical analysis of lifetime data. Software “LiTiS” allows constructing parametric and semiparametric accelerating life testing models with right censored and left truncated data. The overview of main parts of user interface and some properties of the software are presented in the paper.
The propose of this study aims to use eyeball model approach and algebra-geometric to analyze 3-D gaze estimation. Which stereo gaze directions calculate from 3-D coordinates of the value of Cornea Center and Pupil Center of left and right eyes. Then stereo gaze directions are used to get point of gaze (POG) of 3-D coordination. The experimental is designed in three conditions, (i) no head movement...
The new technique of testing of hypothesis of random variables independence is offered. Its basis is made by nonparametric algorithm of pattern recognition. The considered technique doesn't demand sampling of area of values of random variables.
Myocardial infarct cause myocardial tissue disease increasing the probability to have arrhythmias such as ventricular fibrillation, these cardiac problems are cause of death. This paper implement a support vector machine classifier trained with the JTp/JT, Tpe/JTp and Tpe/JT intervals ratios extracted from ECG signals of healthy patients and patients with post myocardial infarct diagnosis. The accuracy...
Spectral testing is widely used in characterizing the dynamic performance of analog signals. Achieving accurate test results is an expensive and challenging task. This paper focuses on eliminating the challenging requirement of non-coherent sampling in the presence of an impure signal with large distortion to noise ratios. A new method was proposed that iteratively estimated noncoherent fundamental...
Current state of the art crowd density estimation methods are based on computationally expensive Gaussian process regression or Ridge regression models which can only handle a small number of features. In many computer vision applications, it has been empirically shown that a richer set of image features can lead to enhanced performances. In this paper, we reason that using more image features could...
Machine Translation may be defined as the task of transformation of source text from one language to another. In the following paper, we have discussed the improvement in quality of Machine Translation (MT) using Source text Rewriting. We have performed English to Hindi translation on our MT system and also translation of rewritten English text to Hindi and then compared their performances and evaluated...
If the focus during product development is on estimating a failure distribution function or a lifetime-quantile, analysis of failure behavior or determination of optimal design alternatives, there is often no alternative to life tests until failure. Alongside the determination of sample size for a desired accuracy of the result, engineers are also faced with the challenge of selecting the most suitable...
The success of web services is changing the way in which software is designed, developed, and distributed. Services are in fact continuously re-designed and incrementally developed, released in heterogeneous and distributed environments. They are selected and integrated at runtime within external business processes. To ensure that a deployed service fulfils the QoS requirements, a Service Level Agreement...
Received signal strength (RSS) based fingerprinting localization technique has been researched widely for the indoor location based services (LBSs) in recent years. However, the accuracy performance suffers from the time-varying characteristic of RSS due to the multi-path and shadow effect. In this paper, we propose a fingerprinting positioning system based on power delay profile (PDP). The system...
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