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https://www.readbyqxmd.com/read/28239433/domain-adaptation-with-conditional-transferable-components
#1
Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schölkopf
Domain adaptation arises in supervised learning when the training (source domain) and test (target domain) data have different distributions. Let X and Y denote the features and target, respectively, previous work on domain adaptation mainly considers the covariate shift situation where the distribution of the features P(X) changes across domains while the conditional distribution P(Y∣X) stays the same. To reduce domain discrepancy, recent methods try to find invariant components [Formula: see text] that have similar [Formula: see text] on different domains by explicitly minimizing a distribution discrepancy measure...
June 2016: JMLR Workshop and Conference Proceedings
https://www.readbyqxmd.com/read/28237847/social-learning-in-the-anthropocene-novel-challenges-shadow-networks-and-ethical-practices
#2
REVIEW
Jeremy J Schmidt
The Anthropocene presents novel challenges for environmental management. This paper considers the challenges that the Anthropocene poses for social learning techniques in adaptive management. It situates these challenges with respect to how anthropogenic forcing on the Earth system affects the conditions required for: (1) The cooperative exercises of social learning; (2) The techniques used for assessing the fit of institutions to social-ecological systems; and, (3) The strategies employed for identifying management targets that are transformed by human action...
February 23, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28231398/living-with-melanoma-%C3%A2-for-a-day-a-phenomenological-analysis-of-medical-students-simulated-experiences
#3
M Corr, G Roulston, N King, T Dornan, C Blease, G J Gormley
BACKGROUND: Despite the rising incidence of melanoma, medical students have progressively fewer opportunities to encounter patients with this important condition. Curricula tend to attach the greatest value to intellectual forms of learning. Compared to intellectual learning, however, experiential learning affords students deep insights about a condition. Doctors who experience ill health are more empathic towards patients. However opportunities to learn about cancer experientially are limited...
February 23, 2017: British Journal of Dermatology
https://www.readbyqxmd.com/read/28230848/computational-approaches-to-fmri-analysis
#4
Jonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A Norman, Jonathan Pillow, Peter J Ramadge, Nicholas B Turk-Browne, Theodore L Willke
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28227786/a-tunable-digital-ishihara-plate-for-pre-school-aged-children
#5
Orazio Gambino, Ester Minafo, Roberto Pirrone, Edoardo Ardizzone, Orazio Gambino, Ester Minafo, Roberto Pirrone, Edoardo Ardizzone, Ester Minafo, Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
Colors play a fundamental role for children, both in the everyday life and in education. They recognize the surrounding world, and play games making a large use of colors. They learn letters and numbers by means of colors. As a consequence, early diagnosis of color blindness is an crucial to support an individual affected by this visual perception alteration at the initial phase of his/her life. The diagnosis of red-green color deficiencies (protanopia or deuteranopia) is commonly accomplished by means of the Ishihara test, which consists of plates showing dots with different sizes where some of them compose numbers within a gamut of colors while the ones composing the background have different colors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227270/deep-learning-framework-for-detection-of-hypoglycemic-episodes-in-children-with-type-1-diabetes
#6
Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San, Sai Ho Ling, Hung T Nguyen, Sai Ho Ling, Hung T Nguyen, Phyo Phyo San
Most Type 1 diabetes mellitus (T1DM) patients have hypoglycemia problem. Low blood glucose, also known as hypoglycemia, can be a dangerous and can result in unconsciousness, seizures and even death. In recent studies, heart rate (HR) and correct QT interval (QTc) of the electrocardiogram (ECG) signal are found as the most common physiological parameters to be effected from hypoglycemic reaction. In this paper, a state-of-the-art intelligent technology namely deep belief network (DBN) is developed as an intelligent diagnostics system to recognize the onset of hypoglycemia...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227213/segmentation-of-optic-disc-and-optic-cup-in-retinal-fundus-images-using-shape-regression
#7
Suman Sedai, Pallab K Roy, Dwarikanath Mahapatra, Rahil Garnavi, Suman Sedai, Pallab K Roy, Dwarikanath Mahapatra, Rahil Garnavi, Suman Sedai, Pallab K Roy, Rahil Garnavi, Dwarikanath Mahapatra
Glaucoma is one of the leading cause of blindness. The manual examination of optic cup and disc is a standard procedure used for detecting glaucoma. This paper presents a fully automatic regression based method which accurately segments optic cup and disc in retinal colour fundus image. First, we roughly segment optic disc using circular hough transform. The approximated optic disc is then used to compute the initial optic disc and cup shapes. We propose a robust and efficient cascaded shape regression method which iteratively learns the final shape of the optic cup and disc from a given initial shape...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226758/a-deep-bag-of-features-model-for-the-classification-of-melanomas-in-dermoscopy-images
#8
S Sabbaghi, M Aldeen, R Garnavi, S Sabbaghi, M Aldeen, R Garnavi, M Aldeen, S Sabbaghi, R Garnavi
Deep learning and unsupervised feature learning have received great attention in past years for their ability to transform input data into high level representations using machine learning techniques. Such interest has been growing steadily in the field of medical image diagnosis, particularly in melanoma classification. In this paper, a novel application of deep learning (stacked sparse auto-encoders) is presented for skin lesion classification task. The stacked sparse auto-encoder discovers latent information features in input images (pixel intensities)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226610/data-driven-estimation-of-blood-pressure-using-photoplethysmographic-signals
#9
Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang, Shi Chao Gao, Peter Wittek, Li Zhao, Wen Jun Jiang
Noninvasive measurement of blood pressure by optical methods receives considerable interest, but the complexity of the measurement and the difficulty of adjusting parameters restrict applications. We develop a method for estimating the systolic and diastolic blood pressure using a single-point optical recording of a photoplethysmographic (PPG) signal. The estimation is data-driven, we use automated machine learning algorithms instead of mathematical models. Combining supervised learning with a discrete wavelet transform, the method is insensitive to minor irregularities in the PPG waveform, hence both pulse oximeters and smartphone cameras can record the signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226441/intelligent-hearing-aids-the-next-revolution
#10
Tao Zhang, Fred Mustiere, Christophe Micheyl, Tao Zhang, Fred Mustiere, Christophe Micheyl, Tao Zhang, Christophe Micheyl, Fred Mustiere
The first revolution in hearing aids came from nonlinear amplification, which allows better compensation for both soft and loud sounds. The second revolution stemmed from the introduction of digital signal processing, which allows better programmability and more sophisticated algorithms. The third revolution in hearing aids is wireless, which allows seamless connectivity between a pair of hearing aids and with more and more external devices. Each revolution has fundamentally transformed hearing aids and pushed the entire industry forward significantly...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225163/transforming-conservation-science-and-practice-for-a-post-normal-world
#11
REVIEW
Matthew J Colloff, Sandra Lavorel, Lorrae E van Kerkhoff, Carina A Wyborn, Ioan Fazey, Russell Gorddard, Georgina M Mace, Wendy B Foden, Michael Dunlop, I Colin Prentice, John Crowley, Paul Leadley, Patrick Degeorges
In this essay we highlight issues to consider when reframing conservation objectives and outcomes in the context of global change. We discuss (1) new framings of the links between ecosystems and society; (2) new relationships and roles for conservation science; (3) new models of how conservation links to society and social change and (4) new approaches for implementing adaptation for conservation outcomes. We argue that reframing conservation objectives requires conservation scientists and practitioners to implement approaches that are no longer constrained by discipline and sectoral boundaries, geopolitical polarities, or technical problematisation...
February 22, 2017: Conservation Biology: the Journal of the Society for Conservation Biology
https://www.readbyqxmd.com/read/28223022/early-identification-of-mild-cognitive-impairment-using-incomplete-random-forest-robust-support-vector-machine-and-fdg-pet-imaging
#12
Shen Lu, Yong Xia, Weidong Cai, Michael Fulham, David Dagan Feng
Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health problem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromal stage of AD. The ability to identify subjects with MCI will be increasingly important as disease modifying therapies for AD are developed. We propose a semi-supervised learning method based on robust optimization for the identification of MCI from [18F]Fluorodeoxyglucose PET scans. We extracted three groups of spatial features from the cortical and subcortical regions of each FDG-PET image volume...
February 7, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/28221057/-understanding-the-neural-basis-of-cognitive-bias-modification-as-a-clinical-treatment-for-depression-correction-to-eguchi-et-al-2016
#13
(no author information available yet)
: Reports an error in "Understanding the neural basis of cognitive bias modification as a clinical treatment for depression" by Akihiro Eguchi, Daniel Walters, Nele Peerenboom, Hannah Dury, Elaine Fox and Simon Stringer (Journal of Consulting and Clinical Psychology, Advanced Online Publication, Dec 19, 2016, np). In the article, there was an error in the Discussion section's first paragraph for Implications and Future Work. The in-text reference citation for Penton-Voak et al. (2013) was incorrectly listed as "Blumenfeld, Preminger, Sagi, and Tsodyks (2006)"...
March 2017: Journal of Consulting and Clinical Psychology
https://www.readbyqxmd.com/read/28220075/visual-equivalence-and-amodal-completion-in-cuttlefish
#14
I-Rong Lin, Chuan-Chin Chiao
Modern cephalopods are notably the most intelligent invertebrates and this is accompanied by keen vision. Despite extensive studies investigating the visual systems of cephalopods, little is known about their visual perception and object recognition. In the present study, we investigated the visual processing of the cuttlefish Sepia pharaonis, including visual equivalence and amodal completion. Cuttlefish were trained to discriminate images of shrimp and fish using the operant conditioning paradigm. After cuttlefish reached the learning criteria, a series of discrimination tasks were conducted...
2017: Frontiers in Physiology
https://www.readbyqxmd.com/read/28216984/the-convergence-analysis-of-p-type-iterative-learning-control-with-initial-state-error-for-some-fractional-system
#15
Xianghu Liu, Yanfang Li
In this paper, the convergence of iterative learning control with initial state error for some fractional equation is studied. According to the Laplace transform and the M-L function, the concept of mild solutions is showed. The sufficient conditions of convergence for the open and closed P-type iterative learning control are obtained. Some examples are given to illustrate our main results.
2017: J Inequal Appl
https://www.readbyqxmd.com/read/28213145/how-are-you-feeling-a-personalized-methodology-for-predicting-mental-states-from-temporally-observable-physical-and-behavioral-information
#16
Suppawong Tuarob, Conrad S Tucker, Soundar Kumara, C Lee Giles, Aaron L Pincus, David E Conroy, Nilam Ram
It is believed that anomalous mental states such as stress and anxiety not only cause suffering for the individuals, but also lead to tragedies in some extreme cases. The ability to predict the mental state of an individual at both current and future time periods could prove critical to healthcare practitioners. Currently, the practical way to predict an individual's mental state is through mental examinations that involve psychological experts performing the evaluations. However, such methods can be time and resource consuming, mitigating their broad applicability to a wide population...
February 14, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28212101/fast-solving-quasi-optimal-ls-s-%C3%A2-vm-based-on-an-extended-candidate-set
#17
Yuefeng Ma, Xun Liang, James T Kwok, Jianping Li, Xiaoping Zhou, Haiyan Zhang
The semisupervised least squares support vector machine (LS-S³VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S³VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S³VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model...
February 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28208881/media-matter-the-effect-of-medium-of-presentation-on-student-s-recognition-of-histopathology
#18
Ajay Telang, Nynke De Jong, Jan Van Dalen
INTRODUCTION: Pathology teaching has undergone transformation with the introduction of virtual microscopy as a teaching and learning tool. AIM: To assess if dental students can identify histopathology irrespective of the media of presentation and if the media affect student's oral pathology case based learning scores. The perception of students towards "hybrid" approach in teaching and learning histopathology in oral pathology was also assessed. MATERIALS AND METHODS: A controlled experiment was conduc-ted on year 4 and year 5 dental student groups using a perfor-mance test and a questionnaire survey...
December 2016: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28207383/person-re-identification-by-camera-correlation-aware-feature-augmentation
#19
Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng, Jian-Huang Lai
The challenge of person re-identification (re-id) is to match individual images of the same person captured by different non-overlapping camera views against significant and unknown cross-view feature distortion. While a large number of distance metric/subspace learning models have been developed for re-id, the cross-view transformations they learned are view-generic and thus potentially less effective in quantifying the feature distortion inherent to each camera view. Learning view-specific feature transformations for re-id (i...
February 9, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28206744/alkane-oxidation-methane-monooxygenases-related-enzymes-and-their-biomimetics
#20
Vincent C-C Wang, Suman Maji, Peter P-Y Chen, Hung Kay Lee, Steve S-F Yu, Sunney I Chan
Methane monooxygenases (MMOs) mediate the facile conversion of methane into methanol in methanotrophic bacteria with high efficiency under ambient conditions. Because the selective oxidation of methane is extremely challenging, there is considerable interest in understanding how these enzymes carry out this difficult chemistry. The impetus of these efforts is to learn from the microbes to develop a biomimetic catalyst to accomplish the same chemical transformation. Here, we review the progress made over the past two to three decades toward delineating the structures and functions of the catalytic sites in two MMOs: soluble methane monooxygenase (sMMO) and particulate methane monooxygenase (pMMO)...
February 16, 2017: Chemical Reviews
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