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Towards and open curved kernel

I. Z. Emiris, A. Kakargias, S. Pion, M. Teillaud, E. P. Tsigaridas
2004 Proceedings of the twentieth annual symposium on Computational geometry - SCG '04  
Our work goes towards answering the growing need for the robust and efficient manipulation of curved objects in numerous applications.  ...  Our first contribution is the design, implementation and testing of a kernel for computing arrangements of circular arcs. A preliminary C++ implementation exists also for arbitrary conic curves.  ...  Acknowledgments The authors acknowledge constructive discussions with Lutz Kettner and Bernard Mourrain. They are grateful to Radu Ursu for his help on the graphical interface.  ... 
doi:10.1145/997817.997882 dblp:conf/compgeom/EmirisKPTT04 fatcat:ny5tptkg5zhvrjzk3scvrozyzm

Active segmentation of 3D axonal images

G. S. Muralidhar, A. Gopinath, A. C. Bovik, A. Ben-Yakar
2012 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
While most of the applications for active contours have focused on segmenting closed regions in 2D medical and natural images, there haven't been many applications that have focused on segmenting open-ended  ...  Our work is motivated by the need to conduct high throughput experiments involving microfluidic devices and femtosecond lasers to study the genetic mechanisms behind nerve regeneration and repair.  ...  ACKNOWLEDGMENT The authors would like to thank Frederic Bourgeois for acquiring and supplying the confocal microscopy data.  ... 
doi:10.1109/embc.2012.6346845 pmid:23366806 dblp:conf/embc/MuralidharGBB12 fatcat:qr7rrvrxszb6zjsnoouq5i5da4

A Deep Learning Approach Towards Prediction of Faults in Wind Turbines [article]

Joyjit Chatterjee, Nina Dethlefs
2019 arXiv   pre-print
In particular, we follow the idea of modelling a turbine's performance as a power curve where any power outputs that fall off the curve can be seen as performance errors.  ...  With the rising costs of conventional sources of energy, the world is moving towards sustainable energy sources including wind energy.  ...  We use a 70%-30% split of the data set of training and testing and find that a Medium Gaussian Kernel based Support Vector Regression (SVR) model achieves a minimal square error (MSE) of 0.098063 using  ... 
arXiv:2001.03612v1 fatcat:c4kzekdl35dk5hvkaozggjbhui

Exact Geometric and Algebraic Computations in CGAL [chapter]

Menelaos I. Karavelas
2010 Lecture Notes in Computer Science  
We summarize recent progress and on-going developments for exact geometric and algebraic computations within the Computational Geometry Algorithms Library (Cgal).  ...  Partially supported by the FP7-REGPOT-2009-1 project "Archimedes Center for Modeling, Analysis and Computation".  ...  kernel based on the bitstream Descartes' algorithm and a bivariate algebraic kernel based on the curve analysis approach, is currently underway and is expected to be part of the next public release of  ... 
doi:10.1007/978-3-642-15582-6_20 fatcat:m2asxcriivabpklz6tvklevjsy

Towards a Methodology for Retrieving Suspects Using 3D Facial Descriptors [chapter]

Naoufel Werghi, Hassen Drira
2017 Communications in Computer and Information Science  
In this paper, We propose a first investigation towards a methodology for exploiting 3D facial images for suspect retrieval in the context of crime investigation.  ...  Such framework would allow a more efficient search of legal face database and more effective suspect shortlisting.  ...  the kernel point towards the facial surface and the local normal at the interception point.  ... 
doi:10.1007/978-3-319-60654-5_8 fatcat:wqoykxrbvnhwhpgmfgs5zsinjy

Examining Alternatives to Wavelet Denoising for Astronomical Source Finding

R. Jurek, S. Brown
2012 Publications Astronomical Society of Australia  
To compare these pre-processing methods we have generated completeness-reliability performance curves for each method and a range of input parameters.  ...  AbstractThe Square Kilometre Array and its pathfinders ASKAP and MeerKAT will produce prodigious amounts of data that necessitate automated source finding.  ...  We conjecture that the mathematical morphology subtraction performance curve is asymptoting towards the reference performance curve as the kernel approaches the size of the test datacube.  ... 
doi:10.1071/as12036 fatcat:cl534slcqfdd7ixglrr6erdrgq

Traveling Waves on the Organ of Corti of the Chinchilla Cochlea: Spatial Trajectories of Inner Hair Cell Depolarization Inferred from Responses of Auditory-Nerve Fibers

A. N. Temchin, A. Recio-Spinoso, H. Cai, M. A. Ruggero
2012 Journal of Neuroscience  
High-frequency phase trajectories are very similar to the trajectories of basilar-membrane peak velocity toward scala tympani.  ...  tones and tone complexes.  ...  BM and TM curves (black traces) indicate peak velocity toward scala tympani.  ... 
doi:10.1523/jneurosci.1138-12.2012 pmid:22855802 pmcid:PMC3436599 fatcat:auykrd6iezfudiizj75avb2moa

The Treatment of Club Foot

1902 The Hospital  
Then he makes an incision which runs in a gentle curve, beginning in front of the external malleolus and extending forwards, with its convexity towards the sole, until it terminates over the calcaneo-cuboid  ...  No joint is opened, the ligaments and other important structures are not interfered with, and perfect motion in all the articulatus is obtained. Brit. Med. Jour., June 21.  ... 
pmid:29838399 pmcid:PMC5269080 fatcat:sg4dopyqp5ettce2intgkufney

Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel [article]

Yutong Wang, Clayton D. Scott
2022 arXiv   pre-print
We devise an ensemble classification method that simultaneously interpolates the training data, and is consistent for a broad class of data distributions.  ...  We prove that kernel smoothing regression using the manifold-Hilbert kernel is weakly consistent in the setting of Devroye et al. 1998.  ...  Acknowledgements The authors were supported in part by the National Science Foundation under awards 1838179 and 2008074.  ... 
arXiv:2205.09342v1 fatcat:fabr5wglpjenjbpiu3w2oyaiwm

Evaluating SIP server performance

Erich M. Nahum, John Tracey, Charles P. Wright
2007 Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '07  
We also provide kernel and application profiles using Oprofile that help explain and illustrate processing costs.  ...  In this extended abstract we overview our experimental evaluation of common SIP server scenarios using open-source SIP software such as OpenSER and SIPp running on Linux.  ...  First, the curves cluster in two clearly different regions of the graph: one, towards the upper left of the graphs, and other, closer to the center and lower right.  ... 
doi:10.1145/1254882.1254924 dblp:conf/sigmetrics/NahumTW07 fatcat:gib3gu3m6vfrrcsl635nqpj7xi

Parametric nonlinear dimensionality reduction using kernel t-SNE

Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
2015 Neurocomputing  
Novel non-parametric dimensionality reduction techniques such as t-distributed stochastic neighbor embedding (t-SNE) lead to a powerful and flexible visualization of high-dimensional data.  ...  We test the ability of kernel t-SNE in comparison to standard t-SNE for benchmark data sets, in particular addressing the generalization ability of the mapping for novel data.  ...  Acknowledgement This work has been supported by the DFG under grant HA 2719/7-1, by the BMBF within the Leading-Edge Cluster it's OWL and by the CITEC center of excellence.  ... 
doi:10.1016/j.neucom.2013.11.045 fatcat:ksxnn6i5crgh7a4ax5atiroe4m

Page 3270 of Mathematical Reviews Vol. , Issue 91F [page]

1991 Mathematical Reviews  
The author proves a nice pointwise Gaussian lower bound for the Dirichlet heat kernel of an open set D in R”, m = 2,3,---.  ...  The author gives an introduction to both subjects, which is as elementary as possible and is directed towards mathematicians.  ... 

A Systematic Analysis of the Break Subsystems of a Wheat Flour Pilot Mill†

J. Yuan, R.A. Flores, D. Eustace, G.A. Milliken
2003 Food and Bioproducts Processing  
The experimental and modelled cumulative granulation curves showed that the best result estimation was obtained for the rst break, and a poor prediction was obtained for the other breaks.  ...  A logistic model with three constants was used to describe the cumulative granulation curve for each of the ve break subsystems.  ...  M; M is the size of sieve opening studied in microns; and a, b and c are the constants.  ... 
doi:10.1205/096030803322437938 fatcat:kl6c6ruja5eezcdboyawtsrgha

Analysis of 2-D Ultrasound Cardiac Strain Imaging Using Joint Probability Density Functions

Chi Ma, Tomy Varghese
2014 Ultrasound in Medicine and Biology  
The impact of different frame rates, final kernel dimensions, and a comparison of radiofrequency and envelope based processing are evaluated using echo signals derived from a three-dimensional finite element  ...  Cardiac simulation model analysis demonstrate that the minimum frame rates required to obtain accurate joint probability distributions for the signal to noise ratio and strain, for a final kernel dimension  ...  Acknowledgments This work is supported in part by NIH grant 5R21EB010098-02 and R01 CA112192-06.  ... 
doi:10.1016/j.ultrasmedbio.2013.12.028 pmid:24613642 pmcid:PMC4175564 fatcat:wlcuncwflrh67pd6edf2y2e5ke

A new challenge for time-dependent density functional theory

Meta van Faassen, Kieron Burke
2006 Chemical Physics Letters  
Time-dependent density functional theory is thought to work well for the test cases of He and Be atoms.  ...  We perform a quantum defect analysis of the s, p, and d Rydberg states of Be with accurate ground state Kohn-Sham potentials.  ...  In this case the Hartree approximation does rather well, by shifting the singlet curve about halfway towards the experiment, while not moving the triplet. But the ALDA curves are a disaster.  ... 
doi:10.1016/j.cplett.2006.09.095 fatcat:rjc2brvgb5ewpmdpoks43t33o4
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