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In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, and that this labeler is noise-free. In reality, it is possible that there are multiple labelers available (such as human labelers in the online annotation tool Amazon Mechanical Turk) and that each such labeler has a different...
Understanding the connectome of the human brain is a major challenge in neuroscience. Discovering the wiring and the major cables of the brain is essential for a better understanding of brain function. Diffusion Tensor imaging (DTI) provides the potential way of exploring the organization of white matter fiber tracts in human subjects in a non-invasive way. However, it is a long way from the approximately...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
Assays of micronucleus are extensively used in genotoxicity testing and in monitoring of human exposure to genotoxic materials. As nuclear buds could be a new source of micronuclei formed in interphase, the assay of contents of nuclear bud in normal and comparison group is needed. In this paper, we proposed a new automatic nuclear buds detection algorithm based on ellipse fitting. Experimental results...
In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
In this paper, we propose a rule-based system for semantically understanding and analyzing the motion of the trajectories of the human activity. The proposed system can be used as a preprocessing phase for enhancing the object detection process. Detected trajectories are classified into three categories; normal, semi-normal and abnormal trajectories according to the distances between their adjacent...
In this paper, we propose a psychoacoustic approach towards enhancing speech intelligibility in noise. Understanding the relationship between the short-term spectral movement of a sound and a listener's sensitivity towards it, we conjecture that humans rely greatly on Inter-Phoneme Spectral Gradients (IPSGs) to distinguish each phoneme, especially when the short-term speech spectrum is masked by extremely...
The authors analyzed the fundamental principle of sound wave and the subjective evaluation of noise. According to the kinematics of machine tool, we analyzed the producing mechanism and main influence factors of machine tool firstly, then analyzed and measured the milling noise of internal gear milling machine tool, and get the main influence factors of gear noise were from meshing basic frequency...
A speech recognition system based on the psychoacoustics of the masking property of the of human auditory system is proposed. The method utilizes several psychoacoustic properties of human perception to define perceptual speech excitation function (masking threshold) and perceptual noise. Based on the auditory masking threshold, a time-frequency noise spectral subtraction is implemented. For a human...
A main source of problem in human cardiac diffusion tensor magnetic resonance imaging (DT-MRI) is the presence of high noise that buries useful information such as edges, details, and even whole objects. We propose a new enhancement approach based on the combined use of non-stationarity degree (NSD) notion and amoebas algorithm. The method consists of first calculating the NSD at each pixel of the...
Electroencephalogram (EEG) activity in Male human during pleasant and unpleasant emotions by different events was investigated. When the subjects were listening to pleasant music and noise, the EEG data comparing pleasant and unpleasant states were obtained. Related emotional theta band was studied by using Principal Component Analysis of EEG data, meanwhile extracting the first principal component,...
We present GAUL, a system to automate the whole log comparison between a new problem and the ones diagnosed in the past to identify recurring problems. GAUL uses a fuzzy match algorithm based on the contextual overlap between log lines and efficiently implements this using scalable index/search. The accuracy and efficiency of the comparison is further improved by leveraging problem set information...
For the inevitable factors in the practical scene such as illumination chance and background interference, a new method is obtained to achieve the detection of human movement in this paper. This algorithm can remove most of the shadow and apply Gaussian filter to reduce interference. Then the moving targets under different conditions can be accurately tracked by combination of tracking algorithm and...
A novel gait expression and recognition algorithm is introduced here. After the wavelet transforming, a Spatial-Temporal Energy (STE) images from one gait sequence yield an approximation sub-image including the body's main expression, and three detail sub-images including the motion feature. With the mutual information the combination feature is got. The constructed combined gait feature made use...
In this paper, a novel contour vectorization approach based on holistic feature of object is proposed, which aims at avoiding segmenting an entire contour of target into some discrete sets of curves. This method consists of two steps:(1) Digitize pixel-based contour into vectors or arcs referring to holistic feature of object, and the contour trend used in the implementation of vectorization is defined...
This paper presents an improved human detection algorithm of motion images. Differences of the two successive frames and background were calculated, then the multiplication of the two differences was obtained; from these results; we can separate the motion human object from the background image and get a motion template which included the motion information. It improved the result of human motion...
Structural similarity (SSIM) is one image quality assessment metric that focuses on the statistic information in the spatial domain. It cannot reflect the small details of the contrast and the changing of texture, which can be perceived by human visual system, because SSIM cannot detect the distortion image with aliasing and blur effectively. This paper proposes a new image quality assessment metric...
Previously, we presented a direct 4D EM method for producing kinetic parameter images from list mode PET data, where the time-activity curve for each voxel is described by a one tissue compartment model (1T). The initial evaluation was performed with simulation, without random and scatter included. In addition, a practical single-scatter simulation (SSS) method was proposed so that the direct 4D method...
In SPECT the collimator and reconstruction algorithm both control image quality. For a given task, one might naturally seek that combination of collimator and algorithm parameters that maximizes task performance. Here, we use a brute force method to compute task performance over a joint space of collimator and algorithm parameters. Our interest is the task. We perform our brute force computation for...
Human motion detection is one of the key challenges in most of the security applications. This paper studies the potentials of passive sensors with reference to the human motion analysis. Different human motion events are analyzed in the indoor lab and the outdoor environment using accelerometer and acoustic sensors. The short-time Fourier transform (STFT) technique is used to evaluate the performances...
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