184 Hits in 10.4 sec

Dense Convolutional Network and Its Application in Medical Image Analysis

Tao Zhou, XinYu Ye, HuiLing Lu, Xiaomin Zheng, Shi Qiu, YunCan Liu, Chen Li
2022 BioMed Research International  
The network structures of DenseNet are systematically summarized in this paper, which has certain positive significance for the research and development of DenseNet.  ...  introduced; second, the development of DenseNet is summarized and analyzed from five aspects: broaden DenseNet structure, lightweight DenseNet structure, dense unit, dense connection mode, and attention mechanism  ...  [61] designed dense convolutional autoencoding (DCAE) block to extract multispatial scale features with different spatial resolution and temporal scales to establish multilevel feature reuse mechanism  ... 
doi:10.1155/2022/2384830 pmid:35509707 pmcid:PMC9060995 fatcat:7jp3tmtph5hk5gthgcomeccnte

Re-Identification in Urban Scenarios: A Review of Tools and Methods

Hugo S. Oliveira, José J. M. Machado, João Manuel R. S. Tavares
2021 Applied Sciences  
Although the model's performance has achieved satisfactory results on particular datasets, a particular trend was observed in the use of 3D Convolutional Neural Networks (CNN), attention mechanisms to  ...  With the aim of identifying the most promising methods for ReID for future robust implementations, a review study is presented, mainly focusing on the person and multi-object ReID and auxiliary methods  ...  New approaches are focusing on 3D CNN networks by transfer learning their embedding and reusing them into person ReID.  ... 
doi:10.3390/app112210809 fatcat:7eruemifjfaw5bi3dfnpuc6ttm

International review panel

2011 2011 6th International Conference on Industrial and Information Systems  
Choices: Understanding and exploiting trade-offs to enhance creativity Gerhard Fisher 71 COMPUTATIONAL CREATIVITY 93 Creativity as disruptive adaption: A computational case study Tapio Takala 95 Can designs  ...  Acknowledgements I would like to thank Alan Penn for spatially related advice, and Peter Bentley for insights while developing the model presented in this paper.  ...  Linda Candy has made valuable comments on much of the work and on this paper. Acknowledgements Acknowledgements The author thanks her advisor, Mitchel Resnick, for his ongoing support.  ... 
doi:10.1109/iciinfs.2011.6038027 fatcat:olgp74wayzadfb7n7f7mtx2jyi

Learning Deep and Wide: A Spectral Method for Learning Deep Networks

Ling Shao, Di Wu, Xuelong Li
2014 IEEE Transactions on Neural Networks and Learning Systems  
It can be seen that some 3D kernels focus more on temporal modeling (top and bottom rows) whereas some focus more on spatial modeling (middle row).  ...  These models extract relevant features from both temporal and spatial dimensions by performing 3D convolutions for the task of video sequence labelling.  ...  Extended-MHI The Matlab code for generating Correlated Body Poses and Extended Motion History Images for section 2.2 can be found at: One-Shot-Learning  ... 
doi:10.1109/tnnls.2014.2308519 pmid:25420251 fatcat:4mnl6tv2xnf3jpzwhp76cvl4ti

Neural Correlates of Cognition in Primary Visual versus Neighboring Posterior Cortices during Visual Evidence-Accumulation-based Navigation [article]

Sue Ann Koay, Stephan Y Thiberge, Carlos Brody, David W Tank
2019 bioRxiv   pre-print
Scott for brainstorming and feedback on the concept of this paper, as well as L. Pinto, C.M. Constantinople, A.G. Bondy, M. Aoi, and B. Deverett for useful and interesting discussions. B.  ...  Pinto built rigs for the high-throughput training of mice, and S. Stein helped in the training of mice in this study. B. Engelhard and L.  ...  classi ication based on 6 heuristically de ined metrics based on the spatial 48 All rights reserved.  ... 
doi:10.1101/568766 fatcat:4ireb4dtarf3lde7232suzmdha

Exploring and Exploiting Diversity for Image Segmentation [article]

Payman Yadollahpour
2017 arXiv   pre-print
Evaluation of the approach on a number of semantic image segmentation benchmark datasets highlight its superiority over inferring the MAP solution.  ...  The task is often cast as a structured output problem on an exponentially large output-space, which is typically modeled by a discrete probabilistic model.  ...  This small set of segmentations can then simply be evaluated by a more complex model in order to rank them. We introduce the ranking mechanism in chapter 3.  ... 
arXiv:1709.01625v1 fatcat:hjedzbi37be5hk4pai4hc3oany

A Comprehensive lossless modified compression in medical application on DICOM CT images

Alka sharm
2013 IOSR Journal of Computer Engineering  
This process is a sequence of square shaped function that further forms wavelet and this wavelet is based on Fourier Transform. HAAR uses orthogonal combination on unit interval.  ...  Also described is the functioning of this model of E-Evaluation and its relative advantages.  ...  Future work aims at experimental evaluation and comparative study of our algorithm with results of existing web content mining algorithms. References Journals [1].  ... 
doi:10.9790/0661-1530107 fatcat:eoyyyi7vmbculctnfqnohxyhue

Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip [chapter]

Jakub Muszyński, Sébastien Varrette, Pascal Bouvry
2016 Lecture Notes in Computer Science  
In order to test such systems, one needs to design executable environment models.  ...  This work proposes a novel nature-inspired mobility model for UAV fleets based on Ant Colony Optimisation approaches (ACO).  ... 
doi:10.1007/978-3-319-31204-0_20 fatcat:27rnwllk75cv5kncys2u7utreq

29th International Conference on Data Engineering [book of abstracts]

2013 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)  
It is based on a mechanism we design for encrypted halfspace range queries in R d , using Asymmetric Scalar-product Preserving Encryption.  ...  on an 3D structure tensor model, named ASVT series, over the local descriptors of video segments.  ...  These volunteers welcome participants, give directions, help in the sessions and on the registration desk, and generally make sure the conference is running smoothly.  ... 
doi:10.1109/icdew.2013.6547409 fatcat:wadzpuh3b5htli4mgb4jreoika

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
Accordingly, non-foveal vision is not only poorer in spatial resolution, but also more susceptible to many illusions.  ...  I'll provide a high-level introduction to deep RL, discuss some recent neuroscience-oriented investigations from my group at DeepMind, and survey some wider implications for research on brain and behavior  ...  Foundation (grants #1822517 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  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
These two sets form two boundaries on the version space.  ...  Adaptations to the multi-class case are typically performed via class binarization, learning different rule sets for binary problems.  ...  If there are any positive examples in the training set, it calls the subroutine FINDBESTRULE for learning a single rule that Nilsson NJ (1995) Reacting, planning and learning in an autonomous agent.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

Review of Video Predictive Understanding: Early Action Recognition and Future Action Prediction [article]

He Zhao, Richard P. Wildes
2021 arXiv   pre-print
Various mathematical tools such as Markov Chains, Gaussian Processes, Auto-Regressive modeling, and Bayesian recursive filtering are widely adopted jointly with computer vision techniques for these two  ...  Recently, structures that rely on deep convolutional neural networks and recurrent neural networks have been extensively proposed for improving the performance of existing vision tasks, in general, and  ...  Derpanis for the insightful comments they provided on this review.  ... 
arXiv:2107.05140v2 fatcat:f23pi3i5fzhqxlirv3slgkl3wu

An Ontological Gazetter for Geographic Information Retrieval

Ivre Marjorie Machado, Rafael Odon de Alencar, Roberto de Oliveira Campos Junior, Clodoveu A. Davis Jr.
2010 Brazilian Symposium on GeoInformatics  
Based on this work, different methods have been developed to instantiate this model, based on different characteristics like speed and direction, aiming to give more semantics to trajectories.  ...  Recently, a new model was designed to reason over trajectories as stops and moves, where stops are the important parts of trajectories.  ...  ACKNOWLEDGMENTS The authors thank to MODAP project, CNR (Italy) CNPq, FAPESC (CP 005/2009) and UFSC that partially provided support for this research.  ... 
dblp:conf/geoinfo/MachadoAJJ10 fatcat:fiv36khzbzaxpbtiyyveo2g4v4

Personalised hypermedia presentation techniques for improving online customer relationships

2001 Knowledge engineering review (Print)  
Methods for acquiring these data, for representing them as models in formal systems and for making generalisations and predictions about the user based thereon are discussed.  ...  As is the case in traditional commerce, one can, however, expect that in the long run those companies will survive more easily that can establish, maintain and extend a customer base by delivering tailored  ...  In 3D webstores (Chittaro & Ranon, 2000) , the spatial and temporal navigation behaviour of users' avatars can be taken into account.  ... 
doi:10.1017/s0269888901000108 fatcat:io6aqalcvrds3m4anoi67gnmbi

Where am I? Creating spatial awareness in unmanned ground robots using SLAM: A survey

2015 Sadhana (Bangalore)  
SLAM algorithms for both static and dynamic environments have been surveyed. The algorithms in each class are further divided based on the techniques used.  ...  The map could be one of different types i.e. metrical, topological, hybrid or semantic.  ...  FAB-MAP 3D (Paul & Newman 2010) is an evolution of FAB-MAP framework for appearance based navigation and topological mapping. It models a location as a collection of words (as Figure 14 .  ... 
doi:10.1007/s12046-015-0402-6 fatcat:33hu7lxwsja2fdjepsdxjczd54
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