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https://www.readbyqxmd.com/read/27925605/large-scale-sparse-learning-from-noisy-tags-for-semantic-segmentation
#1
Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen
In this paper, we present a large-scale sparse learning (LSSL) approach to solve the challenging task of semantic segmentation of images with noisy tags. Different from the traditional strongly supervised methods that exploit pixel-level labels for semantic segmentation, we make use of much weaker supervision (i.e., noisy tags of images) and then formulate the task of semantic segmentation as a weakly supervised learning (WSL) problem from the view point of noise reduction of superpixel labels. By learning the data manifolds, we transform the WSL problem into an LSSL problem...
December 2, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27925587/visually-grounded-meaning-representations
#2
Carina Silberer, Vittorio Ferrari, Mirella Lapata
In this paper we address the problem of grounding distributional representations of lexical meaning. We introduce a new model which uses stacked autoencoders to learn higher-level representations from textual and visual input. The visual modality is encoded via vectors of attributes obtained automatically from images. We create a new large-scale taxonomy of 600 visual attributes representing more than 500 concepts and 700K images. We use this dataset to train attribute classifiers and integrate their predictions with text-based distributional models of word meaning...
December 2, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/27923368/what-do-beginning-students-in-a-rurally-focused-medical-course-think-about-rural-practice
#3
Louise Young, Daniel B Lindsay, Robin A Ray
BACKGROUND: Medical schools may select students for their attitudes towards rural medical practice, yet the rural-urban disparity in availability of medical practitioners and services has not diminished in recent times despite government initiatives and increasing numbers being trained for a career in medicine. One medical school, with a focus on rural and remote medicine, aims to select students with positive perceptions for rural medical practice. A research project collected data on the perceptions of these medical students in the first week of their medical studies...
December 7, 2016: BMC Medical Education
https://www.readbyqxmd.com/read/27923064/sparse-regression-based-structure-learning-of-stochastic-reaction-networks-from-single-cell-snapshot-time-series
#4
Anna Klimovskaia, Stefan Ganscha, Manfred Claassen
Stochastic chemical reaction networks constitute a model class to quantitatively describe dynamics and cell-to-cell variability in biological systems. The topology of these networks typically is only partially characterized due to experimental limitations. Current approaches for refining network topology are based on the explicit enumeration of alternative topologies and are therefore restricted to small problem instances with almost complete knowledge. We propose the reactionet lasso, a computational procedure that derives a stepwise sparse regression approach on the basis of the Chemical Master Equation, enabling large-scale structure learning for reaction networks by implicitly accounting for billions of topology variants...
December 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27923054/fused-regression-for-multi-source-gene-regulatory-network-inference
#5
Kari Y Lam, Zachary M Westrick, Christian L Müller, Lionel Christiaen, Richard Bonneau
Understanding gene regulatory networks is critical to understanding cellular differentiation and response to external stimuli. Methods for global network inference have been developed and applied to a variety of species. Most approaches consider the problem of network inference independently in each species, despite evidence that gene regulation can be conserved even in distantly related species. Further, network inference is often confined to single data-types (single platforms) and single cell types. We introduce a method for multi-source network inference that allows simultaneous estimation of gene regulatory networks in multiple species or biological processes through the introduction of priors based on known gene relationships such as orthology incorporated using fused regression...
December 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27922144/sleep-patterns-and-dysfunctions-in-children-with-learning-problems
#6
Ramkumar Aishworiya, Po Fun Chan, Jennifer Sh Kiing, Shang Chee Chong, Stacey Kh Tay
INTRODUCTION: This study aimed to determine the sleep patterns and dysfunctions in children with learning problems in comparison against a local population-based sample. MATERIALS AND METHODS: Parents of 200 children with learning problems and 372 parents of a local population-based sample of typically developing (TD) children were recruited to complete a questionnaire on their child's sleep patterns and sleep problems. The Children's Sleep Habits Questionnaire (CSHQ) is a validated parent-reported sleep screening questionnaire that contains 54 items identifying sleep behaviours in children...
November 2016: Annals of the Academy of Medicine, Singapore
https://www.readbyqxmd.com/read/27919220/deepqa-improving-the-estimation-of-single-protein-model-quality-with-deep-belief-networks
#7
Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng
BACKGROUND: Protein quality assessment (QA) useful for ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, estimating the quality of a single protein model, which is important for selecting a few good models out of a large model pool consisting of mostly low-quality models, is still a largely unsolved problem. RESULTS: We introduce a novel single-model quality assessment method DeepQA based on deep belief network that utilizes a number of selected features describing the quality of a model from different perspectives, such as energy, physio-chemical characteristics, and structural information...
December 5, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/27917394/a-deep-ensemble-learning-method-for-monaural-speech-separation
#8
Xiao-Lei Zhang, DeLiang Wang
Monaural speech separation is a fundamental problem in robust speech processing. Recently, deep neural network (DNN)-based speech separation methods, which predict either clean speech or an ideal time-frequency mask, have demonstrated remarkable performance improvement. However, a single DNN with a given window length does not leverage contextual information sufficiently, and the differences between the two optimization objectives are not well understood. In this paper, we propose a deep ensemble method, named multicontext networks, to address monaural speech separation...
March 2016: IEEE/ACM Transactions on Audio, Speech, and Language Processing
https://www.readbyqxmd.com/read/27916841/market-model-for-resource-allocation-in-emerging-sensor-networks-with-reinforcement-learning
#9
Yue Zhang, Bin Song, Ying Zhang, Xiaojiang Du, Mohsen Guizani
Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users' patterns...
November 29, 2016: Sensors
https://www.readbyqxmd.com/read/27915355/perspectives-on-teaching-the-international-classification-of-functioning-disability-and-health-model-to-physical-therapy-students
#10
Cheryl Peters-Brinkerhoff
BACKGROUND: During a reaccreditation visit, deficiencies were discovered in the clinical education curriculum regarding patient-centered care in a Doctorate of Physical Therapy program. To understand the problem and address those deficiencies, the clinical internship experience was examined using the International Classification of Functioning, Disability, and Health (ICF) model as a conceptual framework for clinical reasoning. OBJECTIVE: This qualitative case study aimed to study (1) perceptions of physical therapy (PT) students regarding their knowledge and learning experiences during clinical affiliations and what knowledge they acquired of the ICF as applied to patient-centered care during their internship, and (2) the perceptions of clinical instructors (CIs) of their knowledge of the ICF model, its integration into their practice, barriers to its use, and the learning experiences the CIs provided to students regarding the ICF model...
2016: Journal of Allied Health
https://www.readbyqxmd.com/read/27915308/self-directed-learning-readiness-of-asian-students-students-perspective-on-a-hybrid-problem-based-learning-curriculum
#11
Lukas D Leatemia, Astrid P Susilo, Henk van Berkel
Objectives: To identify the student's readiness to perform self-directed learning and the underlying factors influencing it on the hybrid problem based learning curriculum. Methods: A combination of quantitative and qualitative studies was conducted in five medical schools in Indonesia. In the quantitative study, the Self Directed Learning Readiness Scale was distributed to all students in all batches, who had experience with the hybrid problem based curriculum...
December 3, 2016: International Journal of Medical Education
https://www.readbyqxmd.com/read/27915260/could-the-transition-movement-help-solve-the-nhs-s-problems
#12
James N Smith, Rob Hopkins, David Pencheon
BACKGROUND: The NHS Five Year Forward View identifies a range of approaches for addressing the NHS's challenges. The Transition movement helps communities to reframe and rebuild their world by working on issues such as climate change, food, community relationships and localizing the economy. METHODS: This paper describes Transition using five short example projects and, informed by these, identifies mechanisms by which Transition could potentially help reduce pressure on the NHS...
December 2, 2016: Journal of Public Health
https://www.readbyqxmd.com/read/27913797/promoting-gait-recovery-and-limiting-neuropathic-pain-after-spinal-cord-injury-two-sides-of-the-same-coin
#13
Catherine Mercier, Meyke Roosink, Jason Bouffard, Laurent J Bouyer
Most persons living with a spinal cord injury experience neuropathic pain in the months following their lesion, at the moment where they receive intensive gait rehabilitation. Based on studies using animal models, it has been proposed that central sensitization in nociceptive pathways (maladaptive plasticity) and plasticity related to motor learning (adaptive plasticity) share common neural mechanisms and compete with each other. This article aims to address the discrepancy between the growing body of basic science literature supporting this hypothesis and the general belief in rehabilitation research that pain and gait rehabilitation represent two independent problems...
December 2, 2016: Neurorehabilitation and Neural Repair
https://www.readbyqxmd.com/read/27913539/prevention-of-central-nervous-system-sequelae-in-sickle-cell-disease-without-evidence-from-randomized-controlled-trials-the-case-for-a-team-based-learning-collaborative
#14
Michael R DeBaun, Allison A King
Since 1998, the National Institutes of Health has funded 5 randomized controlled trials (RCTs) for primary and secondary prevention of strokes in children with sickle cell anemia (SCA). In a systematic fashion, these trials have significantly advanced the care of children with SCA. In the absence of an RCT, clinicians are often compelled to make decisions at the bedside, based on experience, observational studies, and principles of hematology. We will provide an initial example that describes how a team-based, learning collaborative developed a multisite standard care protocol with a low budget (<$10 000 per year) to overcome the intrinsic limitations of advancing the care of neurologic complications in sickle cell disease (SCD)...
December 2, 2016: Hematology—the Education Program of the American Society of Hematology
https://www.readbyqxmd.com/read/27913369/adaptive-optimal-control-using-frequency-selective-information-of-the-system-uncertainty-with-application-to-unmanned-aircraft
#15
Arnab Maity, Leonhard Hocht, Christian Heise, Florian Holzapfel
A new efficient adaptive optimal control approach is presented in this paper based on the indirect model reference adaptive control (MRAC) architecture for improvement of adaptation and tracking performance of the uncertain system. The system accounts here for both matched and unmatched unknown uncertainties that can act as plant as well as input effectiveness failures or damages. For adaptation of the unknown parameters of these uncertainties, the frequency selective learning approach is used. Its idea is to compute a filtered expression of the system uncertainty using multiple filters based on online instantaneous information, which is used for augmentation of the update law...
November 28, 2016: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/27913345/facial-age-estimation-with-age-difference
#16
Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, Shuicheng Yan
Age estimation based on the human face remains a significant problem in computer vision and pattern recognition. In order to estimate an accurate age or age group of a facial image, most of the existing algorithms require a huge face data set attached with age labels. This imposes a constraint on the utilization of the immensely unlabeled or weakly labeled training data, e.g. the huge amount of human photos in the social networks. These images may provide no age label, but it is easily to derive the age difference for an image pair of the same person...
December 1, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/27912956/further-comments-on-some-core-arguments-from-a-discussion-about-is-traditional-chinese-medicine-really-relevant
#17
Xiao Ye
A discussion on "Is traditional Chinese medicine (TCM) really relevant?" was held in the University College London (UCL) on the afternoon of 31st March, 2015. The author summarized some core viewpoints of the participants and then tried to focus on the opponent's opinions to clear up the arguments by illustrating respects of history, knowledge learning process, evidence based medicine (EBM) and strengths of TCM. This article will propose that the human health is extremely delicate and complicated and that no system of medicine can resolve all the problems of the human body...
December 2016: Complementary Therapies in Medicine
https://www.readbyqxmd.com/read/27909366/standing-on-the-precipice-evaluating-final-year-physiotherapy-students-perspectives-of-their-curriculum-as-preparation-for-primary-health-care-practice
#18
Sinead McMahon, Grainne O'Donoghue, Catherine Doody, Geraldine O'Neill, Terry Barrett, Tara Cusack
Purpose: To explore final-year physiotherapy students' perceptions of primary health care practice to determine (1) aspects of their curriculum that support their learning, (2) deficiencies in their curriculum, and (3) areas that they believe should be changed to adequately equip them to make the transition from student to primary health care professional. Methods: Framework analysis methodology was used to analyze group opinion obtained using structured group feedback sessions. Sixty-eight final-year physiotherapy students from the four higher education institutions in Ireland participated...
2016: Physiotherapy Canada. Physiothérapie Canada
https://www.readbyqxmd.com/read/27909022/development-and-evaluation-of-the-tigriopus-course-based-undergraduate-research-experience-impacts-on-students-content-knowledge-attitudes-and-motivation-in-a-majors-introductory-biology-course
#19
Jeffrey T Olimpo, Ginger R Fisher, Sue Ellen DeChenne-Peters
Within the past decade, course-based undergraduate research experiences (CUREs) have emerged as a viable mechanism to enhance novices' development of scientific reasoning and process skills in the science, technology, engineering, and mathematics disciplines. Recent evidence within the bioeducation literature suggests that student engagement in such experiences not only increases their appreciation for and interest in scientific research but also enhances their ability to "think like a scientist." Despite these critical outcomes, few studies have objectively explored CURE versus non-CURE students' development of content knowledge, attitudes, and motivation in the discipline, particularly among nonvolunteer samples...
2016: CBE Life Sciences Education
https://www.readbyqxmd.com/read/27908154/mass-detection-in-digital-breast-tomosynthesis-deep-convolutional-neural-network-with-transfer-learning-from-mammography
#20
Ravi K Samala, Heang-Ping Chan, Lubomir Hadjiiski, Mark A Helvie, Jun Wei, Kenny Cha
PURPOSE: Develop a computer-aided detection (CAD) system for masses in digital breast tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with transfer learning from mammograms. METHODS: A data set containing 2282 digitized film and digital mammograms and 324 DBT volumes were collected with IRB approval. The mass of interest on the images was marked by an experienced breast radiologist as reference standard. The data set was partitioned into a training set (2282 mammograms with 2461 masses and 230 DBT views with 228 masses) and an independent test set (94 DBT views with 89 masses)...
December 2016: Medical Physics
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