concept of uniqueness sognnaes et al 1982 van der velden et al 2006
Lagrangian analysis and prediction of coastal and ocean dynamics a griffa, et al , (cambridge, 2007) WW
Ngày tải lên :
05/05/2014, 14:42
... function of time The two methods have strengths and weaknesses Virtually all theoretical and numerical research of fluid dynamics uses the Eulerian specification because of the clear separation of ... profiling of temperature and salinity during its excursions to the surface The expanding global array of profiling ALACE (PALACE) floats will in the coming years total some 3000 floats in all ... lateral exchange at shallow depths and enhancer of lateral exchange at depth, the ‘‘barrier or blender’’ concept (Bower et al. , 1985) The changes in depth give direct measurements of vertical velocities,...
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coma science - clinical and ethical implications - s. laureys, et al., (elsevier, 2009)
Ngày tải lên :
12/05/2014, 17:05
... preserved such visual functions such as perception of movement direction (Weiskrantz et al. , 1995), ¨ target detection (Poppel et al. , 1973) and spatial summation (Leh et al. , 2006) even though ... critically reviewed (Wijdicks, 2001; Bernat, 2009) Alternative formulations of death Critics of either the whole-brain criterion of death or of all brain-based concepts of death have offered alternative ... encephalogram is completed to demonstrate an iso-electrical signal reflecting the absence of electrical brain activity Transcranial Doppler studies reveal the absence of cerebral blood flow Finally,...
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cocaine abuse - behavior, pharmacology and clin. applns - p. dews, et al., (ap, 1998)
Ngày tải lên :
12/05/2014, 17:17
... Kinetic evaluation of the commonality between the site(s) of action of cocaine and some other structurally similar and dissimilar inhibitors of the striatal transporter for dopamine Journal ofNeurochemistry, ... reliabihty of this technique for evaluating neuroanatomical substrates of the behavioral effects of systemically administered cocaine THE MEDIAL PREFRONTAL CORTEX The medial prefrontal cortex ... studies of prefrontal cortical function (see Robbins et al. , 1994) Studies of 6-OHDA lesions aimed at determining the role of the mesocortical dopaminergic projection in the behavioral effects of...
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Báo cáo y học: "Response to commentary by Dixon and Silman on the systematic review and meta-analysis by Bongartz et al" doc
Ngày tải lên :
09/08/2014, 08:22
... Systemic review and meta-analysis of rare harmful effects in randomized controlled trials JAMA 2006, 295:2275-2286 Stern R, Wolfe F: Infliximab dose and clinical status: results of studies in 1642 ... No Matteson et al Bongartz T, Sutton AJ, Sweeting MJ, Buchan I, Matteson EL, Montori V: Anti-TNF antibody therapy in rheumatoid arthritis and the risk of serious infections and malignancies Systemic ... [http://www.remicade.com/global/ hcp/hcp_PI.jsp] Lagakos SW: Time-to-event analyses for long-term treatments: The APPROVe trial N Engl J Med 2006, 355:113-117 Page of (page number not for citation...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 2 pot
Ngày tải lên :
10/08/2014, 04:22
... patches, etc The use of global details does not need of a perfect alignment between deformable model and object to obtain a high score, while the use of local detail does Global details allow quickest ... quickest 26 M Mata et al convergence, but local details allow a more precise one A trade-off between both kinds of details will achieve the best results The individual’s health is estimated by ... diagonal lines of the diagonal box of a training image (which will match a theoretical individual’s ones) are scanned to H, L and S vectors Inside these vectors, a local estimate of the derivative...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 3 pps
Ngày tải lên :
10/08/2014, 04:22
... Daniel et al [42] introduced the concept of cortical magnification factor c , measured in millimeters of cortex per degree of visual angle, in order to characterize the transformation of visual data ... Review of Retino-cortical Mapping Models The visual system has the most complex neural circuitry of all sensory systems The flow of visual information occurs in two stages [40]: first from the retina ... stationary world Sandini et al [52] demonstrated how the scale and rotation invariant properties of the mapping simplifies the calculation of radial optical flow of approaching objects, allowing the system...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 4 potx
Ngày tải lên :
10/08/2014, 04:22
... inner product of the vectors The diagonal where form of T is a direct consequence of conformal mapping That is, the metric tensor of any conformal mapping has the form T = A ij (with equal elements ... rate, aliasing error occurs in the reconstructed signal In order to anti-alias, one must filter out the set of samples from the exponential chirp kernel that not satisfy the following inequality: ... and IBIDEM consortium [Ferrari et al 95b, Ferrari et al 95a, Pardo 94], and dubbed “FUGA”, is similar to the CCD fovea described in Section 2.11 [van der Spiegel et al 89] The rectangularly spaced...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 5 ppt
Ngày tải lên :
10/08/2014, 04:22
... periferal visual field”, Biological Cybernetics, vol 44, 1982 2 Foveated Vision Sensor and Image Processing – A Review 95 46 E.L Schwartz, Computational studies of spatial architecture of primate ... F.A Miles, “The role of inertial and visual mechanisms in the stabilization of gaze in natural and artificial systems, From: Motion Vision Computational, Neural, and Echological Constraints, Eds ... scale parameters, respectively (t ) is the transforming function, and it is called the mother wavelet The term mother wavelet gets its name due to two important properties of the wavelet analysis...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 6 pdf
Ngày tải lên :
10/08/2014, 04:22
... convergence means that the estimate of the parameter can approximately approach the real value, if the measurement signal and the real signal have an identical frequency spectrum First, we convert ... mum value when the estimation residual e takes a minimum value ~ Theorem: Given F : C , C is a complex space, when e takes a minimum value, ( L ) also takes a minimum value L Proof: Consider the ... minimum value, ( L ) also takes a minimum value Since the minimum value L On-line Model Learning for Mobile Manipulations 125 ~ of e is equal to 0, the ( L ) will approach as well The residual of the...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 7 pot
Ngày tải lên :
10/08/2014, 04:22
... experimental results obtained from the performing of this complex skill This experiment consists of the robot going towards a goal which is a visual target First of all, the robot moves the turret to ... Unal et al Usage of this high level semantic information yields robust algorithms at a high computational cost Another classification of object tracking methods due to [2] is based on the type of ... the goal Fig 4.15 Experimental results obtained from the performing of complex skill Visual Approaching 158 M J L Boada et al Fig 4.16 Input variables for the learning of the skill Go To Goal Fig...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 8 pptx
Ngày tải lên :
10/08/2014, 04:22
... Lagrange Efficient Incorporation of Optical Flow 181 equations of the functional In light of our implementation of the active contour model via a level set method, the target object’s contour is implicitly ... stage, an initial vector of normal optical flow could be computed all along the polygon over a sparse sampling on edges between vertices A minimization of the continuous energy functional (15) is ... vectors in the tangential and normal directions of edge i Once an active polygon locks onto a target object, the unit direction vectors N and may readily be determined A set of local measurements v...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 9 doc
Ngày tải lên :
10/08/2014, 04:22
... describe the basic concept of structured-light scanner and all the data that can be typically acquired and derived from this kind of sensor A Typical System A sketch of a typical structured-light ... 24 E C Hildreth, “Computations underlying the measurement of visual motion,” AI, vol 23, pp 309–354, 1984 5 Efficient Incorporation of Optical Flow 201 25 S Ullman, “Analysis of visual motion ... optical triangulation parameters and the camera calibration parameters all together In fact, the main reason we derived the optical triangulation equations is to show that the uncertainty of depth...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 10 potx
Ngày tải lên :
10/08/2014, 04:22
... Considering this tradeoff, a practical suggestion would be to set the threshold as half the maximum uncertainty of the range measurement Hoppe et al [24] were the first to propose the volumetric method ... product of the point’s normal vector and the 3D Modeling of Real-World Objects Using Range and Intensity Images 227 P Q (a) P Q (b) Fig 6.13: Advantage of Zhang’s algorithm (a): Since the original ... the ICP algorithm will converge to the desired global minimum, and the only way to confirm the global minimum is to find the minimum of all the local minima This is a fundamental limitation of the...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 11 pot
Ngày tải lên :
10/08/2014, 04:22
... collection of planar micro-facets as shown in Figure 6.24 An infinitesimal surface patch dA consists of a large set of micro-facets where each facet is assumed to be one side of a symmetric V-cavity ... V-cavity The set of micro-facets has a mean normal vector of n, and a random variable α is used to represent the angle between each micro-facet’s normal vector and the mean normal vector Assuming ... achieved with the original reflectance parameter set Levoy et al [35], in their Digital Michelangelo Project, also employ two different passes for the acquisition of geometric data and color images...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 12 potx
Ngày tải lên :
10/08/2014, 04:22
... temporal structure of the measurement residuals provides a mechanism for learning models of u Good estimates of u will lead to better estimates of x which are useful for a wide variety of applications ... equilibrium point The time scale of these mechanisms seem to be on the scale of hundreds of milliseconds Given this apparent structure of v, we expect that the internal structure of g(·, ·) should contain ... 3-D geometry from images As an extended Kalman filter, it is itself a recursive, nonlinear, probabilistic estimation framework Estimation of 3-D parameters from calibrated sets of 2-D parameters...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 13 ppsx
Ngày tải lên :
10/08/2014, 04:22
... Understanding 299 alphabet for all tasks but rather many alphabets each suited to a group of tasks Therefore we need an algorithm for automatically generating and selecting effective behavior alphabets ... individual gestures or remind the user of the global order of the sequence The left and center images in Figure 7.23 show an example of a critique of a specific gesture Visual and musical cues ... method for maintaining a set of N unimodal Gaussian hypotheses in the Kalman filtering framework without the need to reformulate the update equations The MHT method is essentially a bank of Kalman...
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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 14 ppsx
Ngày tải lên :
10/08/2014, 04:22
... payoff(1,1) 1 0.5 0.5 payoff(1,1) 0.5 payoff(1,1) payoff(1,2) payoff(1,2) payoff(1,2) 0.5 payoff(1,2) 0 0.5 payoff(1,2) 0.5 payoff(1,1) payoff(1,2) 0.5 payoff(1,2) payoff(1,2) payoff(1,2) payoff(1,2) ... payoff(1,1) 0.5 0.5 payoff(1,1) 1 0.5 0.5 payoff(1,1) 0.5 payoff(1,1) 1 0.5 payoff(1,2) payoff(1,1) payoff(1,2) 0.5 payoff(1,2) payoff(1,2) payoff(1,2) payoff(1,2) payoff(1,2) 338 0.5 payoff(1,1) ... 0.5 0.5 0.5 payoff(1,1) 0.5 payoff(1,1) 1 0.5 payoff(1,2) payoff(1,2) 0.5 payoff(1,1) payoff(1,2) 0.5 payoff(1,2) payoff(1,2) payoff(1,2) payoff(1,2) 339 0.5 0.5 payoff(1,1) payoff(1,1) Fig 8.6...
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