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The transformation technique for spatial objects revisited [chapter]

Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben
1993 Lecture Notes in Computer Science  
_The basic idea is to transform the bounding boxes into points in higher dimensional space in order to apply data structures for points which are better understood and easier to handle.  ...  The transformation technique is one of the earliest approaches for storing a set of bounding boxes of arbitrary geometric objects such that insertion, deletion and proximity queries can be carried out  ...  The idea is to map the bounding boxes of geometric objects into points in higher dimensional space in order to directly reuse well-understood point data structures.  ... 
doi:10.1007/3-540-56869-7_5 fatcat:wtf6235hybb3rgusfh35l2xuti

Towards real-time middleware for vehicular ad hoc networks

Barbara Hughes, René Meier, Raymond Cunningham, Vinny Cahill
2004 Proceedings of the first ACM workshop on Vehicular ad hoc networks - VANET '04  
This Space-Elastic model is the first to directly address adaptation in the space domain to maintain real-time guarantees.  ...  The dynamics of a VANET impact the real-time guarantees available within the proximity bound. In this case, we dynamically adapt the proximity bound to maintain the required real-time guarantees.  ...  The PMRR, attempts to discover and maintain real-time constrained routes within a proximity-bound, e.g., as specified by the Space-Elastic Model, utilizing the cellular structure of TBMAC coupled with  ... 
doi:10.1145/1023875.1023894 dblp:conf/mobicom/HughesMCC04 fatcat:sygf5ulfyjed7b3j43vkre2sfa

Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data

Hersh Chandarana, Ankur M. Doshi, Alampady Shanbhogue, James S. Babb, Mary T. Bruno, Tiejun Zhao, Esther Raithel, Michael O. Zenge, Guobin Li, Ricardo Otazo
2016 Radiology  
Overall image quality scores were higher for BH SPARSE-SPACE than for RT SPACE images for both readers for the proximal, middle, and distal pancreatic duct, but the difference was not statistically significant  ...  BH SPACE images were reconstructed by enforcing joint multicoil sparsity in the wavelet domain (SPARSE-SPACE).  ...  Results Acquisition Time Pancreatic Duct Overall image quality scores were higher for BH SPARSE-SPACE than for RT SPACE in the proximal, middle, and Note.  ... 
doi:10.1148/radiol.2016151935 pmid:26982678 pmcid:PMC4949145 fatcat:dvgpz32aundy7gd3zpwzez4zva

Effect of shape and coating of a subretinal prosthesis on its integration with the retina

A. Butterwick, P. Huie, B.W. Jones, R.E. Marc, M. Marmor, D. Palanker
2009 Experimental Eye Research  
A trans-scleral implantation technique was developed to place microfabricated structures in the subretinal space of RCS rats.  ...  Flat implants coated with parylene and iridium oxide were generally well tolerated in the subretinal space, inducing only a mild gliotic response.  ...  Functional restoration of the central vision in these patients will likely require a higher resolution implant.  ... 
doi:10.1016/j.exer.2008.09.018 pmid:18955050 fatcat:hptl7bfesfanfilmq7rlkddx2m

Establishing Multi-Criteria Context Relations Supporting Ubiquitous Immersive Participation

Jamie Waltersand Theo Kanter, Rahim Rahmani
2013 International Journal of Ad Hoc, Sensor and Ubiquitous Computing  
This in turn presupposes the existence of models for establishing and maintaining context relations.  ...  Additionally, wederive a measure of context proximity that considers the situation, attributes, relations, accuracy and heterogeneity of both the underlying information and the vast array of requirements  ...  The Earth Movers distance evaluates the similarity between two multi-dimensional distributions in some feature space, in our case the activity space.  ... 
doi:10.5121/ijasuc.2013.4205 fatcat:xvzvq5hidrgatnxowb4xoji5ye

A self-organizing principle for learning nonlinear manifolds

D. K. Agrafiotis, H. Xu
2002 Proceedings of the National Academy of Sciences of the United States of America  
Select two points, i and j, at random, retrieve (or evaluate) their proximity in the input space, r ij , and compute their Euclidean distance on the D-dimensional map, d ij ϭ ʈy i Ϫ y j ʈ. 4.  ...  The embedding is carried out by minimizing the stress function, where r ij is the input proximity between the ith and jth points, d ij is their Euclidean distance in the low-dimensional space, f(d ij ,  ...  The Euclidean distance in the resulting 26-dimensional principal component space was used as a proximity measure between two compounds.  ... 
doi:10.1073/pnas.242424399 pmid:12444256 pmcid:PMC138530 fatcat:a777f2eshvac3kj3ujme77op6m

Page 856 of Psychological Abstracts Vol. 55, Issue 5 [page]

1976 Psychological Abstracts  
Horn’s Leistungspriifsystem (1962) to determine whether it reflects ability to visualize EXPERIMENTAL PSYCHOLOGY (HUMAN) problems in 2-dimensional space or, as maintained by Horn, in 3-dimensional space  ...  Space-average luminance was held constant. RT increased with the higher spatial frequency and was intermediate in value for the combination stimulus at each level of contrast.  ... 

Wideband electrical modeling of large three-dimensional interconnects using accelerated generation of partial impedances with cylindrical conduction mode basis functions

Ki Jin Han, Madhavan Swaminathan, Ege Engin
2008 2008 IEEE MTT-S International Microwave Symposium Digest  
From the modeling examples of throughhole vias and bonding wires in stacked Ie's, the proposed method is verified for application to real three-dimensional interconnects.  ...  For wideband modeling of large and complicated three-dimensional interconnects, this paper proposes an efficiency improvement in solving electric field integral equation with cylindrical conduction mode  ...  Figure 3 shows the relative error of the coupling coefficients with adding higher-order proximity effect modes in two-parallel-conductor problem.  ... 
doi:10.1109/mwsym.2008.4633300 fatcat:mc244qgxpnhnti2q5sgnszha6i

FSPE: Visualization of Hyperspectral Imagery Using Faithful Stochastic Proximity Embedding

Safa A. Najim, Ik Soo Lim, Peter Wittek, Mark W. Jones
2015 IEEE Geoscience and Remote Sensing Letters  
We propose faithful stochastic proximity embedding (FSPE), which is a scalable and nonlinear dimensionality reduction method.  ...  FSPE outperforms the state-of-art methods by at least 12% on average and up to 25% in the qualitative measure.  ...  The quality of the dimensionality reduction is measured with a correlation metric between interpoint distances in the input data space and the projected space [1] , [9] ; the higher the correlation,  ... 
doi:10.1109/lgrs.2014.2324631 fatcat:ounqfmvqdnh6dlujttpny5wc34

Information-theoretical label embeddings for large-scale image classification [article]

François Chollet
2016 arXiv   pre-print
Our method consists in embedding high-dimensional sparse labels onto a lower-dimensional dense sphere of unit-normed vectors, and treating the classification problem as a cosine proximity regression problem  ...  We test our method on a dataset of 300 million high-resolution images with 17,000 labels, where it yields considerably faster convergence, as well as a 7% higher mean average precision compared to logistic  ...  For this reason, the highest achievable MAP@100 in our experiments is higher than 1 (typical values are in the 5-7 range).  ... 
arXiv:1607.05691v1 fatcat:xvk6nhfqgne2zf4p5crrkk26n4

Proximity-based visualization of movement trace data

Tarik Crnovrsanin, Chris Muelder, Carlos Correa, Kwan-Liu Ma
2009 2009 IEEE Symposium on Visual Analytics Science and Technology  
We present proximity-based visualization as a novel approach to the visualization of movement traces in an abstract space rather than the given spatial layout.  ...  The increasing availability of motion sensors and video cameras in living spaces has made possible the analysis of motion patterns and collective behavior in a number of situations.  ...  ACKNOWLEDGEMENTS This research was supported in part by the U.S. National Science Foundation through grants CCF-0938114, CCF-0808896 and CCF-0811422 and by Hewlett-Packard Laboratories.  ... 
doi:10.1109/vast.2009.5332593 dblp:conf/ieeevast/CrnovrsaninMCM09 fatcat:q3i6bew6g5b3je2cmgxyw6ji7a

Design and printing of a coplanar capacitive proximity sensor to detect the gap between dielectric foils edges

Rubaiyet Iftekharul Haque, Martin Lubej, Danick Briand
2022 Sensors and Actuators A-Physical  
Moreover, the optimum sensor performance is observed for the foil edge gap positioned centered with the sensing electrodes and the target foil remaining in contact with its surface.  ...  The capacitive proximity sensor with optimum set of parameters is fabricated on a polyimide foil by the inkjet of the sensing electrodes.  ...  Amongst the dimensional parameters, the width of the electrodes and the spacing between them has a higher influence on the sensitivity, whereas the edge gap detection range was mainly affected by the electrode  ... 
doi:10.1016/j.sna.2022.113424 fatcat:rso634mg7fcjfk4vfvltft2ggm

Dynamic security border identification using enhanced particle swarm optimization

I.N. Kassabalidis, M.A. El-Sharkawi, R.J. Marks, L.S. Moulin, A.P. Alves da Silva
2002 IEEE Transactions on Power Systems  
The high-dimensional nature of power systems' operating space makes this difficult.  ...  However, new multiagent search techniques such as particle swarm optimization have shown great promise in handling high-dimensional nonlinear problems.  ...  For the speed of PSO convergence, it should be noted that a higher-dimensional feature space causes both slower convergence and decreased accuracy.  ... 
doi:10.1109/tpwrs.2002.800942 fatcat:stknrxstfbeulfikoez6p5am5i

Dynamic Security Border Identification Using Enhanced Particle Swarm Optimization

I. N. Kassabalidis, M. A. El-Sharkawi, L. S. Moulin, A. P. Alves da Silva
2002 IEEE Power Engineering Review  
The high-dimensional nature of power systems' operating space makes this difficult.  ...  However, new multiagent search techniques such as particle swarm optimization have shown great promise in handling high-dimensional nonlinear problems.  ...  For the speed of PSO convergence, it should be noted that a higher-dimensional feature space causes both slower convergence and decreased accuracy.  ... 
doi:10.1109/mper.2002.4312295 fatcat:h33jhtspibge3kjsigxw3xwlxm

Graph Force Learning [article]

Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
2021 arXiv   pre-print
Unfortunately, current studies fail to fully preserve the structural information in the feature space due to random negative sampling strategy during training.  ...  Recently, increasing attention has been paid on network feature learning, which could map discrete features to continued space.  ...  In the feature space, the distance between nodes approximates to the real distribution of the original space, maintaining first-order proximity, second-order proximity or high-order proximity.  ... 
arXiv:2103.04344v1 fatcat:yfywxe2nq5eqzasok5pmwbg2ry
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