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https://www.readbyqxmd.com/read/28105921/simba-a-web-tool-for-managing-bacterial-genome-assembly-generated-by-ion-pgm-sequencing-technology
#1
Diego C B Mariano, Felipe L Pereira, Edgar L Aguiar, Letícia C Oliveira, Leandro Benevides, Luís C Guimarães, Edson L Folador, Thiago J Sousa, Preetam Ghosh, Debmalya Barh, Henrique C P Figueiredo, Artur Silva, Rommel T J Ramos, Vasco A C Azevedo
BACKGROUND: The evolution of Next-Generation Sequencing (NGS) has considerably reduced the cost per sequenced-base, allowing a significant rise of sequencing projects, mainly in prokaryotes. However, the range of available NGS platforms requires different strategies and software to correctly assemble genomes. Different strategies are necessary to properly complete an assembly project, in addition to the installation or modification of various software. This requires users to have significant expertise in these software and command line scripting experience on Unix platforms, besides possessing the basic expertise on methodologies and techniques for genome assembly...
December 15, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28105741/potential-use-of-cubic-phase-masks-for-extending-the-range-of-clear-vision-in-presbyopes-initial-calculation-and-simulation-studies
#2
Justo Arines, Citlalli Almaguer, Eva Acosta
PURPOSE: In this paper we analyse the potential use of a non-symmetrical optical element, a cubic phase mask, for extending the range of clear vision of presbyopic eyes. Additionally, we will discuss the appropriateness of the visual Strehl ratio to analyse this sort of presbyopic solution based on non-symmetrical phase masks contrasted with through-focus retinal images. METHODS: In order to evaluate the performance of the cubic phase mask we employed computational Fourier Optics to compute the different visual Strehl criteria as well as simulate the retinal images...
January 20, 2017: Ophthalmic & Physiological Optics: the Journal of the British College of Ophthalmic Opticians (Optometrists)
https://www.readbyqxmd.com/read/28103557/data-dependent-label-distribution-learning-for-age-estimation
#3
Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang
As an important and challenging problem in computer vision, face age estimation is typically cast as a classification or regression problem over a set of face samples with respect to several ordinal age labels, which have intrinsically cross-age correlations across adjacent age dimensions. As a result, such correlations usually lead to the age label ambiguities of the face samples. Namely, each face sample is associated with a latent label distribution that encodes the cross-age correlation information on label ambiguities...
January 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28103541/playing-with-senses-in-vr-alternate-perceptions-combining-vision-and-touch
#4
Anatole Lecuyer
Virtual reality is an immersive experience based on computer-generated stimulations perceived with multiple sensory channels. It is possible to manipulate these sensory stimulations independently and create conflicting situations in which, for instance, vision and touch are spatially and/or temporally inconsistent. This article discusses how to exploit these ambiguous sensorial situations to generate new kinds of percept using three types of examples: pseudo-haptic effects, self-motion sensations, and body-ownership illusions...
January 2017: IEEE Computer Graphics and Applications
https://www.readbyqxmd.com/read/28103187/convexity-shape-prior-for-binary-segmentation
#5
Lena Gorelick, Olga Veksler, Yuri Boykov, Claudia Nieuwenhuis
Convexity is a known important cue in human vision. We propose shape convexity as a new high-order regularization constraint for binary image segmentation. In the context of discrete optimization, object convexity is represented as a sum of three-clique potentials penalizing any 1- 0- 1 configuration on all straight lines. We show that these non-submodular potentials can be efficiently optimized using an iterative trust region approach. At each iteration the energy is linearly approximated and globally optimized within a small trust region around the current solution...
February 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28095593/automated-face-detection-for-occurrence-and-occupancy-estimation-in-chimpanzees
#6
Anne-Sophie Crunchant, Monika Egerer, Alexander Loos, Tilo Burghardt, Klaus Zuberbühler, Katherine Corogenes, Vera Leinert, Lars Kulik, Hjalmar S Kühl
Surveying endangered species is necessary to evaluate conservation effectiveness. Camera trapping and biometric computer vision are recent technological advances. They have impacted on the methods applicable to field surveys and these methods have gained significant momentum over the last decade. Yet, most researchers inspect footage manually and few studies have used automated semantic processing of video trap data from the field. The particular aim of this study is to evaluate methods that incorporate automated face detection technology as an aid to estimate site use of two chimpanzee communities based on camera trapping...
January 17, 2017: American Journal of Primatology
https://www.readbyqxmd.com/read/28092587/learning-domain-invariant-subspace-using-domain-features-and-independence-maximization
#7
Ke Yan, Lu Kou, David Zhang
Domain adaptation algorithms are useful when the distributions of the training and the test data are different. In this paper, we focus on the problem of instrumental variation and time-varying drift in the field of sensors and measurement, which can be viewed as discrete and continuous distributional change in the feature space. We propose maximum independence domain adaptation (MIDA) and semi-supervised MIDA to address this problem. Domain features are first defined to describe the background information of a sample, such as the device label and acquisition time...
January 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28092548/linear-spectral-clustering-superpixel
#8
Jiansheng Chen, Zhengqin Li, Bo Huang
In this paper, we present a superpixel segmentation algorithm called linear spectral clustering (LSC), which is capable of producing superpixels with both high boundary adherence and visual compactness for natural images with low computational costs. In LSC, a normalized cuts based formulation of image segmentation is adopted using a distance metric that measures both the color similarity and the space proximity between image pixels. However, rather than directly using the traditional eigen-based algorithm, we approximate the similarity metric through a deliberately designed kernel function such that pixel values can be explicitly mapped to a high-dimensional feature space...
January 11, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092538/spatio-temporal-closed-loop-object-detection
#9
Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo
Object detection is one of the most important tasks of computer vision. It is usually performed by evaluating a subset of the possible locations of an image that are more likely to contain the object of interest. Exhaustive approaches have now been superseded by object proposal methods. The interplay of detectors and proposal algorithms has not been fully analyzed and exploited up to now, although this is a very relevant problem for object detection in video sequences. We propose to connect, in a closed-loop, detectors and object proposal generator functions exploiting the ordered and continuous nature of video sequences...
January 10, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28092520/robust-matrix-factorization-by-majorization-minimization
#10
Zhouchen Lin, Chen Xu, Hongbin Zha
L1-norm based low rank matrix factorization in the presence of missing data and outliers remains a hot topic in computer vision. Due to non-convexity and non-smoothness, all the existing methods either lack scalability or robustness, or have no theoretical guarantee on convergence. In this paper, we apply the Majorization Minimization technique to solve this problem. At each iteration, we upper bound the original function with a strongly convex surrogate. By minimizing the surrogate and updating the iterates accordingly, the objective function has sufficient decrease, which is stronger than just being non-increasing that other methods could offer...
January 11, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28079187/a-spiking-neural-network-model-of-3d-perception-for-event-based-neuromorphic-stereo-vision-systems
#11
Marc Osswald, Sio-Hoi Ieng, Ryad Benosman, Giacomo Indiveri
Stereo vision is an important feature that enables machine vision systems to perceive their environment in 3D. While machine vision has spawned a variety of software algorithms to solve the stereo-correspondence problem, their implementation and integration in small, fast, and efficient hardware vision systems remains a difficult challenge. Recent advances made in neuromorphic engineering offer a possible solution to this problem, with the use of a new class of event-based vision sensors and neural processing devices inspired by the organizing principles of the brain...
January 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28078170/computational-fluid-dynamics-assisted-characterization-of-parafoveal-hemodynamics-in-normal-and-diabetic-eyes-using-adaptive-optics-scanning-laser-ophthalmoscopy
#12
Yang Lu, Miguel O Bernabeu, Jan Lammer, Charles C Cai, Martin L Jones, Claudio A Franco, Lloyd Paul Aiello, Jennifer K Sun
Diabetic retinopathy (DR) is the leading cause of visual loss in working-age adults worldwide. Previous studies have found hemodynamic changes in the diabetic eyes, which precede clinically evident pathological alterations of the retinal microvasculature. There is a pressing need for new methods to allow greater understanding of these early hemodynamic changes that occur in DR. In this study, we propose a noninvasive method for the assessment of hemodynamics around the fovea (a region of the eye of paramount importance for vision)...
December 1, 2016: Biomedical Optics Express
https://www.readbyqxmd.com/read/28076351/ultra-fine-scale-spatially-integrated-mapping-of-habitat-and-occupancy-using-structure-from-motion
#13
Philip McDowall, Heather J Lynch
Organisms respond to and often simultaneously modify their environment. While these interactions are apparent at the landscape extent, the driving mechanisms often occur at very fine spatial scales. Structure-from-Motion (SfM), a computer vision technique, allows the simultaneous mapping of organisms and fine scale habitat, and will greatly improve our understanding of habitat suitability, ecophysiology, and the bi-directional relationship between geomorphology and habitat use. SfM can be used to create high-resolution (centimeter-scale) three-dimensional (3D) habitat models at low cost...
2017: PloS One
https://www.readbyqxmd.com/read/28075373/visual-object-tracking-based-on-cross-modality-gaussian-bernoulli-deep-boltzmann-machines-with-rgb-d-sensors
#14
Mingxin Jiang, Zhigeng Pan, Zhenzhou Tang
Visual object tracking technology is one of the key issues in computer vision. In this paper, we propose a visual object tracking algorithm based on cross-modality featuredeep learning using Gaussian-Bernoulli deep Boltzmann machines (DBM) with RGB-D sensors. First, a cross-modality featurelearning network based on aGaussian-Bernoulli DBM is constructed, which can extract cross-modality features of the samples in RGB-D video data. Second, the cross-modality features of the samples are input into the logistic regression classifier, andthe observation likelihood model is established according to the confidence score of the classifier...
January 10, 2017: Sensors
https://www.readbyqxmd.com/read/28074536/use-of-an-intravenous-sclerosing-foam-3-sodium-tetradecyl-sulfate-for-treatment-of-orbital-varix-in-a-dog
#15
Rebecca S Saunders, Brian A Scansen, Stephen S Jung, Hooman Khabiri, David A Wilkie
A 6-month-old intact male Standard Dachshund was referred for evaluation of a soft tissue swelling above the right eye. Examination of the right eye revealed mild lateral deviation of the globe, normal vision, and a dorsonasal soft tissue swelling. Examination of the posterior segment was normal. Dual-phase computed tomography angiography was consistent with an orbital varix of the angularis oculi and right dorsal external ophthalmic veins with no evidence of arterial involvement. Treatment involved fluoroscopically guided coil embolization of the venous outflow with nine platinum microcoils, followed by sclerotherapy of the varix using 1...
January 10, 2017: Veterinary Ophthalmology
https://www.readbyqxmd.com/read/28067860/3d-visual-tracking-of-an-articulated-robot-in-precision-automated-tasks
#16
Hamza Alzarok, Simon Fletcher, Andrew P Longstaff
The most compelling requirements for visual tracking systems are a high detection accuracy and an adequate processing speed. However, the combination between the two requirements in real world applications is very challenging due to the fact that more accurate tracking tasks often require longer processing times, while quicker responses for the tracking system are more prone to errors, therefore a trade-off between accuracy and speed, and vice versa is required. This paper aims to achieve the two requirements together by implementing an accurate and time efficient tracking system...
January 7, 2017: Sensors
https://www.readbyqxmd.com/read/28067851/detection-location-and-grasping-objects-using-a-stereo-sensor-on-uav-in-outdoor-environments
#17
Pablo Ramon Soria, Begoña C Arrue, Anibal Ollero
The article presents a vision system for the autonomous grasping of objects with Unmanned Aerial Vehicles (UAVs) in real time. Giving UAVs the capability to manipulate objects vastly extends their applications, as they are capable of accessing places that are difficult to reach or even unreachable for human beings. This work is focused on the grasping of known objects based on feature models. The system runs in an on-board computer on a UAV equipped with a stereo camera and a robotic arm. The algorithm learns a feature-based model in an offline stage, then it is used online for detection of the targeted object and estimation of its position...
January 7, 2017: Sensors
https://www.readbyqxmd.com/read/28061886/circadian-course-of-the-p300-erp-in-patients-with-amyotrophic-lateral-sclerosis-implications-for-brain-computer-interfaces-bci
#18
Helena Erlbeck, Ursula Mochty, Andrea Kübler, Ruben G L Real
BACKGROUND: Accidents or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS) can lead to progressing, extensive, and complete paralysis leaving patients aware but unable to communicate (locked-in state). Brain-computer interfaces (BCI) based on electroencephalography represent an important approach to establish communication with these patients. The most common BCI for communication rely on the P300, a positive deflection arising in response to rare events. To foster broader application of BCIs for restoring lost function, also for end-users with impaired vision, we explored whether there were specific time windows during the day in which a P300 driven BCI should be preferably applied...
January 7, 2017: BMC Neurology
https://www.readbyqxmd.com/read/28060712/self-taught-low-rank-coding-for-visual-learning
#19
Sheng Li, Kang Li, Yun Fu
The lack of labeled data presents a common challenge in many computer vision and machine learning tasks. Semisupervised learning and transfer learning methods have been developed to tackle this challenge by utilizing auxiliary samples from the same domain or from a different domain, respectively. Self-taught learning, which is a special type of transfer learning, has fewer restrictions on the choice of auxiliary data. It has shown promising performance in visual learning. However, existing self-taught learning methods usually ignore the structure information in data...
January 2, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28060399/are-multiple-retinal-arterial-macroaneurysms-considered-a-sign-of-cerebral-aneurysms
#20
Serhad Nalcaci, Zafer Oztas, Cenk Eraslan, Cezmi Akkin
The aim of this study is to report the coexistence of retinal arterial macroaneurysms (RAMs) and cerebral aneurysms (CAs) in a 58-year-old woman with hypertension. She was noted as having a 1-week history of vision loss in her left eye, along with a 2-month history of a nonspecific headache. Visual acuity was 20/32 in her left eye and 20/20 in her right eye. A fundus examination revealed multiple areas of retinal hemorrhages that were surrounded by circinate exudation in her left eye, as well as the generalized attenuation of the retinal arteries in both of her eyes...
January 1, 2017: Ophthalmic Surgery, Lasers & Imaging Retina
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