Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Harer, John"'
Collections of measures on compact metric spaces form a model category ("data complexes"), whose morphisms are marginalization integrals. The fibrant objects in this category represent collections of measures in which there is a measure on a product
Externí odkaz:
http://arxiv.org/abs/1911.11837
In this work, we address fusion of heterogeneous sensor data using wavelet-based summaries of fused self-similarity information from each sensor. The technique we develop is quite general, does not require domain specific knowledge or physical models
Externí odkaz:
http://arxiv.org/abs/1810.10324
Autor:
Tralie, Christopher J., Smith, Abraham, Borggren, Nathan, Hineman, Jay, Bendich, Paul, Zulch, Peter, Harer, John
In this work, we address the problem of cross-modal comparison of aerial data streams. A variety of simulated automobile trajectories are sensed using two different modalities: full-motion video, and radio-frequency (RF) signals received by detectors
Externí odkaz:
http://arxiv.org/abs/1711.08569
We introduce a new algorithm, called CDER, for supervised machine learning that merges the multi-scale geometric properties of Cover Trees with the information-theoretic properties of entropy. CDER applies to a training set of labeled pointclouds emb
Externí odkaz:
http://arxiv.org/abs/1702.07959
Autor:
Denny, Thomas N., Andrews, Laura, Bonsignori, Mattia, Cavanaugh, Kyle, Datto, Michael B., Deckard, Anastasia, DeMarco, C. Todd, DeNaeyer, Nicole, Epling, Carol A., Gurley, Thaddeus, Haase, Steven B., Hallberg, Chloe, Harer, John, Kneifel, Charles L., Lee, Mark J., Louzao, Raul, Moody, M. Anthony, Moore, Zack, Polage, Christopher R., Puglin, Jamie, Spotts, P. Hunter, Vaughn, John A., Wolfe, Cameron R.
Publikováno v:
Morbidity and Mortality Weekly Report, 2020 Nov . 69(46), 1743-1747.
Externí odkaz:
https://www.jstor.org/stable/26967792
We propose a flexible and multi-scale method for organizing, visualizing, and understanding datasets sampled from or near stratified spaces. The first part of the algorithm produces a cover tree using adaptive thresholds based on a combination of mul
Externí odkaz:
http://arxiv.org/abs/1602.06245
We introduce a method called multi-scale local shape analysis, or MLSA, for extracting features that describe the local structure of points within a dataset. The method uses both geometric and topological features at multiple levels of granularity to
Externí odkaz:
http://arxiv.org/abs/1410.3169
Autor:
Bendich, Paul, Chin, Sang, Clarke, Jesse, deSena, Jonathan, Harer, John, Munch, Elizabeth, Newman, Andrew, Porter, David, Rouse, David, Strawn, Nate, Watkins, Adam
We introduce the first unified theory for target tracking using Multiple Hypothesis Tracking, Topological Data Analysis, and machine learning. Our string of innovations are 1) robust topological features are used to encode behavioral information, 2)
Externí odkaz:
http://arxiv.org/abs/1406.0214
We introduce a simple class of distribution networks which withstand damage by being repairable instead of redundant. We prove a lower bound for the expected cost of repair, and show that for networks on the square and triangular lattice, this bound
Externí odkaz:
http://arxiv.org/abs/1405.2185