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Introducing lop-kernels: a framework for kernelization lower bounds [article]

Júlio Araújo, Marin Bougeret, Victor A. Campos, Ignasi Sau
2021 arXiv   pre-print
We present further applications for Tree Deletion Set and for Maximum Independent Set on K_t-free graphs.  ...  Finally, we prove that MMVC does not admit polynomial kernels parameterized by the size of a minimum vertex cover of the input graph, even on bipartite graphs, unless NP⊆ coNP / poly.  ...  Tree Deletion Set has a polynomial kernel but no OPTO(1) approximation.  ... 
arXiv:2102.02484v3 fatcat:fzq4726v7feydmutjof6zvkik4

Blood vessel segmentation methodologies in retinal images – A survey

M.M. Fraz, P. Remagnino, A. Hoppe, B. Uyyanonvara, A.R. Rudnicka, C.G. Owen, S.A. Barman
2012 Computer Methods and Programs in Biomedicine  
c o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 0 8 ( 2 0 1 2 ) 407-433 Blood vessel segmentation Retinopathy Survey a b s t r a c t Retinal vessel segmentation algorithms  ...  Moreover, the retinal vascular tree is found to be unique for each individual and can be used for biometric identification [11, 12] .  ...  Once a segment has been tracked, it is deleted in the angiogram image by growing the deletion intensity value over the gray levels representing the vessel.  ... 
doi:10.1016/j.cmpb.2012.03.009 pmid:22525589 fatcat:t6cjgne6rbckjlj7w7r4ptx6ui

Tree Topology Estimation

Rolando Estrada, Carlo Tomasi, Scott C. Schmidler, Sina Farsiu
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We show that the problem of estimating the optimal tree has linear complexity if ancestry is known, but is NP-hard if it is lost.  ...  For the latter case, we present both a greedy approximation algorithm and a heuristic search algorithm that effectively explore the space of possible trees.  ...  Therefore, the location of x t has no impact on the maximum value ofQ at time t 1.  ... 
doi:10.1109/tpami.2014.2382116 pmid:26353004 pmcid:PMC4566856 fatcat:7tlcg7zegjdlrngwsodn6zjc6q

Clustering-Based Hyperspectral Band Selection Using Information Measures

Adolfo MartÍnez-UsÓMartinez-Uso, Filiberto Pla, JosÉ MartÍnez Sotoca, Pedro GarcÍa-Sevilla
2007 IEEE Transactions on Geoscience and Remote Sensing  
The technique that is presented has a stable behavior for different image data sets and a noticeable accuracy, mainly when selecting small sets of bands.  ...  Experimental results include a comparison among some relevant and recent methods for hyperspectral band selection using no labeled information, showing their performance with regard to pixel image classification  ...  In this case, a family of generalized linear/polynomial classifiers has been used.  ... 
doi:10.1109/tgrs.2007.904951 fatcat:vrub4cwysjedrfl7mpuldqdzb4

The Stanford Cart and the CMU Rover

H.P. Moravec
1983 Proceedings of the IEEE  
The Cart saw the chair instantly and the real tree after the second move, but failed to see the cardboard tree ever.  ...  We hope eventually to provide a manipulator on the Rover's topside, but there is no active work on this now.  ... 
doi:10.1109/proc.1983.12684 fatcat:mzjuinezcjb2fabj5jma3y7tkq

The Stanford Cart and the CMU Rover [chapter]

Hans P. Moravec
1990 Autonomous Robot Vehicles  
The Cart saw the chair instantly and the real tree after the second move, but failed to see the cardboard tree ever.  ...  We hope eventually to provide a manipulator on the Rover's topside, but there is no active work on this now.  ... 
doi:10.1007/978-1-4613-8997-2_30 fatcat:urspgb2ehrgcrdk5xdejx76rzq

Modeling the Tortuosity of Retinal Vessels: Does Caliber Play a Role?

E Trucco, H Azegrouz, B Dhillon
2010 IEEE Transactions on Biomedical Engineering  
The tortuosity of retinal blood vessels is a diagnostic parameter assessed by ophthalmologists on the basis of examples and experience; no quantitative model is specified in clinical practice.  ...  We suggest in this paper that curvature may not be the only quantity involved in modeling tortuosity, and that vessel thickness, or caliber, may also play a role.  ...  ACKNOWLEDGMENT The authors would like to thank Optos plc, C. Buchanan, D. Cairns, P. Wilson, J. Ellis, and T. McGillivray for support and helpful discussions.  ... 
doi:10.1109/tbme.2010.2050771 pmid:20515707 fatcat:txadbhyogvcknplmvsx3j5wo5u

A methodology for processing raw LiDAR data to support urban flood modelling framework

A. F. Abdullah, Z. Vojinovic, R. K. Price, N. A. A. Aziz
2012 Journal of Hydroinformatics  
Recently, the vertical accuracy of LiDAR has increased dramatically to 0.05m (see for example FLIMAP, 2010).  ...  No part of this publication or the information contained herein may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, by photocopying, recording  ...  Acknowledgement It is a pleasure to thank all those who have made this thesis possible. The research was funded by UNESCO-IHE under the SWITCH project and the Government of Malaysia.  ... 
doi:10.2166/hydro.2011.089 fatcat:eqpnmbd4o5ggjkcxrfkrf6efa4

Modern Applied Science, Vol. 2, No. 2, March 2008, all in one file

Editor MAS
2008 Modern Applied Science  
set of decision trees.  ...  , 1 ( l k x ik Λ = is the corresponding value of attribute X i when C = c, ) (⋅ K is a given kernel function 2 / 2 / 1 2 ) 2 ( ) ( t e t K − − = π .  ... 
doi:10.5539/mas.v2n2p0 fatcat:iu3zrlcf7zbkjmsjror76rvyeq

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
However, there is another area of recent AI work which has so far received less attention from neuroscientists, but which may have more profound neuroscientific implications: deep reinforcement learning  ...  Deep RL offers a rich framework for studying the interplay among learning, representation and decision-making, offering to the brain sciences a new set of research tools and a wide range of novel hypotheses  ...  and #1921515 to SJ), the National Institute of Mental Health (grant #MH117488 to SJ), the California Nano-Systems Institute (Challenge grants to SJ), the Research Corporation for Science Advancement (a  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

EMG-based Simultaneous and Proportional Estimation of Wrist Kinematics and its Application in Intuitive Myoelectric Control for Unilateral transradial Amputees

Farina Dario
2011 Frontiers in Computational Neuroscience  
(Du 354/5-1 & 6-1). Acknowledgements This work was supported by the Deutsche Forschungsgemeinschaft (DFG), Grant no.  ...  KR1844/1-2, and by the Bundesministerium für Bildung und Forschung (BMBF), Grant no. 01GQ0705.  ...  Sequential firing of place cells has been observed not only during movement through a sequence of locations but also during rest periods [1] .  ... 
doi:10.3389/conf.fncom.2011.53.00081 fatcat:nkq5wesfpbcjnikbxqh3v3gtqi

Understanding Smart Sensors

Randy Frank
2000 Measurement science and technology  
For a ±1% measurement, the full-scale output is set at 25°C.  ...  The pressure sensor has passive calibration for zero offset, full-scale span, and temperature compensation, but no additional amplification.  ...  branch of logic that uses degree of membership in sets rather than a strict true/false membership gateway a node used to connect networks that use different protocols; a protocol converter genetic algorithms  ... 
doi:10.1088/0957-0233/11/12/711 fatcat:inet5t3lzbecrczd2f5tdevkzq

Assessing neurodegeneration of the retina and brain with ultra-widefield retinal imaging [article]

Emma Jean Roberta Pead, University Of Edinburgh, Thomas MacGillivray, Baljean Dhillon
2020
Ultra-widefield (UWF) retinal imaging with a scanning laser ophthalmoscope captures up to 80% of the retina in a single acquisition allowing a larger area of the retina to be assessed for signs of neurodegeneration  ...  As drusen are abundant in the retinas of people with A [...]  ...  The function that transforms the features into the new space and constructs the SVM is called a kernel where there exist many types, such as linear, radial basis function kernel (or gaussian kernel), polynomial  ... 
doi:10.7488/era/516 fatcat:26grwmkyqrbnfaove2eecso4b4

World Modeling for Intelligent Autonomous Systems

Andrey Belkin
2017
Thus, it needs a memory structure that contains a description of the surrounding environment (world model) and serves as a central information hub.  ...  This book presents a row of theoretical and experimental results in the field of world modeling.  ...  Definition The Gaussian mixture reduction task corresponds to finding of another GM sufficiently good approximating the original one but with significantly fewer number of kernels.  ... 
doi:10.5445/ksp/1000066938 fatcat:5vrro2nfjreb7ddnyyrnemqkeq

World Modeling for Intelligent Autonomous Systems

Andrey Belkin
2015
Within the scope of this work, we have attained a row of theoretical and experimental results in the field of world modeling as well as gathered significant experience and expertise.  ...  Definition The Gaussian mixture reduction task corresponds to finding of another GM sufficiently good approximating the original one but with significantly fewer number of kernels.  ...  deletion).  ... 
doi:10.5445/ir/1000060148 fatcat:5nucey2f3fevzgyhtbnbmfwpjy
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