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https://www.readbyqxmd.com/read/28822323/discriminative-clustering-on-manifold-for-adaptive-transductive-classification
#1
Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li
In this paper, we mainly propose a novel adaptive transductive label propagation approach by joint discriminative clustering on manifolds for representing and classifying high-dimensional data. Our framework seamlessly combines the unsupervised manifold learning, discriminative clustering and adaptive classification into a unified model. Also, our method incorporates the adaptive graph weight construction with label propagation. Specifically, our method is capable of propagating label information using adaptive weights over low-dimensional manifold features, which is different from most existing studies that usually predict the labels and construct the weights in the original Euclidean space...
August 1, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28820463/cycle-tracks-and-parking-environments-in-china-learning-from-college-students-at-peking-university
#2
Changzheng Yuan, Yangbo Sun, Jun Lv, Anne C Lusk
China has a historic system of wide cycle tracks, many of which are now encroached by cars, buses and bus stops. Even with these conditions, college students still bicycle. On campuses, students park their bikes on facilities ranging from kick-stand-plazas to caged sheds with racks, pumps and an attendant. In other countries, including Canada, some of the newer cycle tracks need to be wider to accommodate an increasing number of bicyclists. Other countries will also need to improve their bike parking, which includes garage-basement cages and two-tiered racks...
August 18, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/28818500/cryptic-sexual-dimorphism-in-spatial-memory-and-hippocampal-oxytocin-receptors-in-prairie-voles-microtus-ochrogaster
#3
Marissa A Rice, Lauren E Hobbs, Kelly J Wallace, Alexander G Ophir
Sex differences are well documented and are conventionally associated with intense sex-specific selection. For example, spatial memory is frequently better in males, presumably due to males' tendency to navigate large spaces to find mates. Alternatively, monogamy (in which sex-specific selection is relatively relaxed) should diminish or eliminate differences in spatial ability and the mechanisms associated with this behavior. Nevertheless, phenotypic differences between monogamous males and females persist, sometimes cryptically...
August 14, 2017: Hormones and Behavior
https://www.readbyqxmd.com/read/28816668/fast-open-world-person-re-identification
#4
Xiatian Zhu, Botong Wu, Dongcheng Huang, Wei-Shi Zheng
Existing person re-identification (re-id) methods typically assume that (1) any probe person is guaranteed to appear in the gallery target population during deployment (i.e. closed-world), and (2) the probe set contains only a limited number of people (i.e. small search scale). Both assumptions are artificial and breached in real-world applications, since the probe population in target people search can be extremely vast in practice due to the ambiguity of probe search space boundary. Therefore, it is unrealistic that any probe person is assumed as one target people, and a large-scale search in person images is inherently demanded...
August 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28816656/tracking-by-detection-of-3d-human-shapes-from-surfaces-to-volumes
#5
Chun-Hao Huang, Benjamin Allain, Edmond Boyer, Jean-Sebastien Franco, Federico Tombari, Nassir Navab, Slobodan Ilic
3D Human shape tracking consists in fitting a template model to temporal sequences of visual observations. It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences. Most current approaches follow the Iterative-Closest-Point (ICP) paradigm, where the association step is carried out by searching for the nearest neighbors. It fails when large deformations occur and errors in the association tend to propagate over time...
August 15, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28816511/virtual-reality-and-active-videogame-based-practice-learning-needs-and-preferences-a-cross-canada-survey-of-physical-therapists-and-occupational-therapists
#6
Danielle Levac, Stephanie Glegg, Heather Colquhoun, Patricia Miller, Farzad Noubary
OBJECTIVE: Describe the clinical use of virtual reality (VR)/active videogaming (AVG) by physical therapists (PTs) and occupational therapists (OTs) in Canada, identify usage barriers and facilitators, evaluate factors that predict intention to use VR/AVGs, and determine therapists' learning needs. DESIGN: Cross-sectional survey. MATERIALS AND METHODS: Online survey of therapists in Canada who were members of 1 of 26 professional PT or OT colleges or associations using the Assessing Determinants Of Prospective Take-up of Virtual Reality (ADOPT-VR2) Instrument...
August 2017: Games for Health
https://www.readbyqxmd.com/read/28815112/predicting-intervention-onset-in-the-icu-with-switching-state-space-models
#7
Marzyeh Ghassemi, Mike Wu, Michael C Hughes, Peter Szolovits, Finale Doshi-Velez
The impact of many intensive care unit interventions has not been fully quantified, especially in heterogeneous patient populations. We train unsupervised switching state autoregressive models on vital signs from the public MIMIC-III database to capture patient movement between physiological states. We compare our learned states to static demographics and raw vital signs in the prediction of five ICU treatments: ventilation, vasopressor administra tion, and three transfusions. We show that our learned states, when combined with demographics and raw vital signs, improve prediction for most interventions even 4 or 8 hours ahead of onset...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#8
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28812819/advancing-public-health-on-the-changing-global-trade-and-investment-agenda-comment-on-the-trans-pacific-partnership-is-it-everything-we-feared-for-health
#9
Anne Marie Thow, Deborah Gleeson
Concerns regarding the Trans-Pacific Partnership (TPP) have raised awareness about the negative public health impacts of trade and investment agreements. In the past decade, we have learned much about the implications of trade agreements for public health: reduced equity in access to health services; increased flows of unhealthy commodities; limits on access to medicines; and constrained policy space for health. Getting health on the trade agenda continues to prove challenging, despite some progress in moving towards policy coherence...
September 28, 2016: International Journal of Health Policy and Management
https://www.readbyqxmd.com/read/28812421/right-hemispatial-ipsilesional-neglect-with-chronic-right-hemisphere-strokes
#10
John B Williamson, Damon G Lamb, D Brandon Burtis, Salsabil Haque, Eduardo M Zilli, Tigran Kesayan, Michal Harciarek, Kenneth M Heilman
BACKGROUND: Patients who present with spatial neglect after stroke often perform normally on tests for neglect after a few weeks. Whereas tests for neglect are often performed directly in front of a patient, in their actual environments many important stimuli may be present within their left or right hemispace. The presence and severity of neglect often depends on the hemisphere injured. It is possible, in chronic stroke, for spatial judgments to be influenced by an interaction of stroke laterality and the spatial location of stimuli...
August 16, 2017: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/28809716/structured-weak-semantic-space-construction-for-visual-categorization
#11
Chunjie Zhang, Jian Cheng, Qi Tian
Visual features have been widely used for image representation and categorization. However, visual features are often inconsistent with human perception. Besides, constructing explicit semantic space is still an open problem. To alleviate these two problems, in this paper, we propose to construct structured weak semantic space for image representation. Exemplar classifier is first trained to separate each training image from other images for weak semantic space construction. However, each exemplar classifier separates one training image from other images, and it only has limited semantic separability...
August 11, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28809679/automatic-localization-of-the-needle-target-for-ultrasound-guided-epidural-injections
#12
Mehran Pesteie, Victoria Lessoway, Purang Abolmaesumi, Robert N Rohling
Accurate identification of the needle target is crucial for effective epidural anesthesia. Currently, epidural needle placement is administered by a manual technique, relying on the sense of feel, which has a significant failure rate. Moreover, misleading the needle may lead to inadequate anesthesia, post dural puncture headaches and other potential complications. Ultrasound offers guidance to the physician for identification of the needle target, but accurate interpretation and localization remain challenges...
August 11, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28807487/exploring-how-prison-based-drug-rehabilitation-programming-shapes-racial-disparities-in-substance-use-disorder-recovery
#13
Erin M Kerrison
Prison-based therapeutic community (TC) programming is derived from the perspective that drug addiction is primarily symptomatic of cognitive dysfunction, poor emotional management, and underdeveloped self-reliance skills, and can be addressed in a collaborative space where a strong ideological commitment to moral reform and personal responsibility is required of its members. In this space, evidence of rehabilitation is largely centered on the client's relationship to language and the public adoption of a "broken self" narrative...
August 5, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28806717/efficient-construction-of-sparse-radial-basis-function-neural-networks-using-l1-regularization
#14
Xusheng Qian, He Huang, Xiaoping Chen, Tingwen Huang
This paper investigates the construction of sparse radial basis function neural networks (RBFNNs) for classification problems. An efficient two-phase construction algorithm (which is abbreviated as TPCLR1 for simplicity) is proposed by using L1 regularization. In the first phase, an improved maximum data coverage (IMDC) algorithm is presented for the initialization of RBF centers and widths. Then a specialized Orthant-Wise Limited-memory Quasi-Newton (sOWL-QN) method is employed to perform simultaneous network pruning and parameter optimization in the second phase...
July 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28803176/an-easy-efficient-and-mobile-way-for-training-microsurgical-skills-during-busy-life-of-neurosurgical-residency-and-resource-challenged-environment
#15
Antti Huotarinen, Mika Niemelä, Behnam Rezai Jahromi
BACKGROUND: Residents life is more than hectic, it is hard to find place and time for training basic and advanced microsurgical skills. Surgical instruments, sutures can be purchased (or loaned from department) but the most expensive and space occupying device is microscope. In developing countries microscopes are used where the need is most; in operation rooms. Furthermore conventional microscope is not portable. For all mentioned reasons availability of microscope for training microsurgery is very limited...
August 9, 2017: World Neurosurgery
https://www.readbyqxmd.com/read/28801817/contour-segmentation-of-the-intima-media-and-adventitia-layers-in-intracoronary-oct-images-application-to-fully-automatic-detection-of-healthy-wall-regions
#16
Guillaume Zahnd, Ayla Hoogendoorn, Nicolas Combaret, Antonios Karanasos, Emilie Péry, Laurent Sarry, Pascal Motreff, Wiro Niessen, Evelyn Regar, Gijs van Soest, Frank Gijsen, Theo van Walsum
PURPOSE: Quantitative and automatic analysis of intracoronary optical coherence tomography images is useful and time-saving to assess cardiovascular risk in the clinical arena. METHODS: First, the interfaces of the intima, media, and adventitia layers are segmented, by means of an original front propagation scheme, running in a 4D multi-parametric space, to simultaneously extract three non-crossing contours in the initial cross-sectional image. Second, information resulting from the tentative contours is exploited by a machine learning approach to identify healthy and diseased regions of the arterial wall...
August 11, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28800631/lack-of-spacing-effects-during-piano-learning
#17
Melody Wiseheart, Annalise A D'Souza, Jacey Chae
Spacing effects during retention of verbal information are easily obtained, and the effect size is large. Relatively little evidence exists on whether motor skill retention benefits from distributed practice, with even less evidence on complex motor skills. We taught a 17-note musical sequence on a piano to individuals without prior formal training. There were five lags between learning episodes: 0-, 1-, 5-, 10-, and 15-min. After a 5-min retention interval, participants' performance was measured using three criteria: accuracy of note playing, consistency in pressure applied to the keys, and consistency in timing...
2017: PloS One
https://www.readbyqxmd.com/read/28799130/near-set-based-mucin-segmentation-in-histopathology-images-for-detecting-mucinous-carcinoma
#18
Soma Banerjee, Monjoy Saha, Indu Arun, Bijan Basak, Sanjit Agarwal, Rosina Ahmed, Sanjoy Chatterjee, Lipi B Mahanta, Chandan Chakraborty
This paper introducesnear-set based segmentation method for extraction and quantification of mucin regions for detecting mucinouscarcinoma (MC which is a sub type of Invasive ductal carcinoma (IDC)). From histology point of view, the presence of mucin is one of the indicators for detection of this carcinoma. In order to detect MC, the proposed method majorly includes pre-processing by colour correction, colour transformation followed by near-set based segmentation and post-processing for delineating only mucin regions from the histological images at 40×...
August 10, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28798659/enhanced-data-representation-by-kernel-metric-learning-for-dementia-diagnosis
#19
David Cárdenas-Peña, Diego Collazos-Huertas, German Castellanos-Dominguez
Alzheimer's disease (AD) is the kind of dementia that affects the most people around the world. Therefore, an early identification supporting effective treatments is required to increase the life quality of a wide number of patients. Recently, computer-aided diagnosis tools for dementia using Magnetic Resonance Imaging scans have been successfully proposed to discriminate between patients with AD, mild cognitive impairment, and healthy controls. Most of the attention has been given to the clinical data, provided by initiatives as the ADNI, supporting reliable researches on intervention, prevention, and treatments of AD...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28796619/unsupervised-t-distributed-video-hashing-and-its-deep-hashing-extension
#20
Yanbin Hao, Tingting Mu, John Y Goulermas, Jianguo Jiang, Richang Hong, Meng Wang
In this work, a novel unsupervised hashing algorithm, referred to as t-USMVH, and its extension to unsupervised deep hashing, referred to as t-UDH, are proposed to support large-scale video-to-video retrieval. To improve robustness of the unsupervised learning, t-USMVH combines multiple types of feature representations and effectively fuses them by examining a continuous relevance score based on a Gaussian estimation over pairwise distances, and also a discrete neighbor score based on the cardinality of reciprocal neighbors...
August 7, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
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