stepwise process of bite mark investigation bowers 2004 rai et al 2007

Lagrangian analysis and prediction of coastal and ocean dynamics   a  griffa, et al , (cambridge, 2007) WW

Lagrangian analysis and prediction of coastal and ocean dynamics a griffa, et al , (cambridge, 2007) WW

... 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 ... distances of 1000s of km The first section of this retrospective of Lagrangian methods describes the evolution of the acoustic float technology; the second Evolution of Lagrangian methods in...

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coma science  -  clinical and ethical implications  -  s. laureys, et al., (elsevier, 2009)

coma science - clinical and ethical implications - s. laureys, et al., (elsevier, 2009)

... (Bekinschtein et al. , 2004; Boly et al. , 2004, 2008; Laureys et al. , 2004b; Schiff et al. , 2005) Perhaps most importantly, there is evidence that patients in MCS retain higher functional connectivity between ... to standardize the determination of brain death is equally important (Choi et al. , 2008), especially in light of the disturbing evidence of wide variability of brain death determination procedures ... 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)

cocaine abuse - behavior, pharmacology and clin. applns - p. dews, et al., (ap, 1998)

... 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 ... behavioral effects of cocaine after infusions into a host of different brain structures including accumbens, amygdala, bed nucleus, caudate, and neocortex (Caine et al. , 1995; Callahan et al. , 1995; ... attenuation of the behavioral effects of self-administered cocaine (Phillips, Broekkamp, & Fibiger, 1983; Robledo et al. , 1992; Maldonado et al. , 1993; McGregor and Roberts, 1993; Caine et al. , 1995)...

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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

Báo cáo y học: "Response to commentary by Dixon and Silman on the systematic review and meta-analysis by Bongartz et al" doc

... 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 ... Rheumatol 2004, 31:1538-1545 Remicade label information [http://www.remicade.com/global/ hcp/hcp_PI.jsp] Lagakos SW: Time-to-event analyses for long-term treatments: The APPROVe trial N Engl...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 2 pot

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 2 pot

... 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 ... use global and/or local object specific detail Global details not have a precise geometric location inside the object, such as statistics of gray levels or colors, textures, etc Local details...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 3 pps

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 3 pps

... 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 ... 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 ... 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

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 4 potx

... 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 ... with foveal and peripheral vision The lenses provide the ability to globally observe the environment and precisely analyze details in the scene, while the mechanical setup is capable of quickly ... of using the periphery stems from biological motivation and also to increase the computational efficiency It may be noted that the same algorithm will hold incase of computation of the optical...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 5 ppt

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 5 ppt

... 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 J M ... 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 ... visual task”, Journal of experimental Psychology, vol 11, pp 133–149, 1985 87 E.C Sobel and T.S Collett, “Does vertical disparity scales the perception of stereoscopic depth?”, In the Proc of...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 6 pdf

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 6 pdf

... 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 ... 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 ... tracker-trailer-like robot, The International Journal of Robotics Research, pages 533-543 vol 13, No 5, 1994 Polikar Robi, `The engineer's ultimate guide to wavelet analysis, the wavelettutorial'',...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 7 pot

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 7 pot

... 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

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 8 pptx

... functional In light of our implementation of the active contour model via a level set method, the target object’s contour is implicitly represented as the zero level set of the higher dimensional ... 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 ... computational load, we realize that the continuous tracker with its Hildreth-based smoothness constraint is highly impractical Fig 5.6 Velocity normal to local direction of boundaries of an object which...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 9 doc

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 9 doc

... be completely perceived by the vision system; and other types of optically uncooperative objects Construction of such photorealistic 3D models of real-world objects is the main focus of this ... 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 scanner ... the number of horizontal scan lines (rows) of camera image, and n is the total number of images (i.e., number of stripes) in the sequence We can also represent a range image in a parametric form...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 10 potx

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 10 potx

... 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 Their algorithm ... tolerance distance value when the registration is bad This modification relaxed the constraint of the original ICP, which required one data set to be a complete subset of the other data set As illustrated ... 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

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 11 pot

... 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 ... [54] for the detailed description of geometrical attenuation factor 6 3D Modeling of Real-World Objects Using Range and Intensity Images 249 Facet masking Facet shadowing Fig 6.26: Facet shadowing...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 12 potx

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 12 potx

... 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 ... high-dimensional signals and the mapping between body pose and image observation involves perspective projection These unique challenges go beyond the original design goals of the Kalman and extended Kalman ... delete constraints at run-time simply by modifying the calculation of the constraint Jacobian Modularization Constraints are written as mathematical relationships between points in space Often...

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Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 13 ppsx

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 13 ppsx

... 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 The goal ... the state of the physical system is straightforward There is a one-to-one mapping between the state and the phase offset into the cyclic control, and a one-to-one mapping between the offset and ... 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

Machine Learning and Robot Perception - Bruno Apolloni et al (Eds) Part 14 ppsx

... 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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