Updates with editor feedback

Author: lizliz

.github/workflows/draft-pdf.yml

@@ -20,4 +20,4 @@ jobs:
           # This is the output path where Pandoc will write the compiled
           # PDF. Note, this should be the same directory as the input
           # paper.md
-          path: paper/paper.pdf
+          path: paper.pdf

paper/figures/Filt.png

@@ -113,15 +113,6 @@ @Article{Myers2023a
   publisher = {American Physical Society (APS)},
 }
 
-@InProceedings{Myers2023b,
-  author    = {Myers, Audun D. and Kvinge, Henry and Emerson, Tegan},
-  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
-  title     = {TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data},
-  year      = {2023},
-  month     = {June},
-  pages     = {600-609},
-}
-
  
 @Article{Guezel2022,
   author    = {Güzel, İsmail and Munch, Elizabeth and Khasawneh, Firas A.},
@@ -415,31 +406,6 @@ @Article{Adcock2016
   readstatus   = {read},
 }
 
-@Article{Chevyrev2018,
-  author        = {Ilya Chevyrev and Vidit Nanda and Harald Oberhauser},
-  title         = {Persistence paths and signature features in topological data analysis},
-  year          = {2018},
-  month         = jun,
-  abstract      = {We introduce a new feature map for barcodes that arise in persistent homology computation. The main idea is to first realize each barcode as a path in a convenient vector space, and to then compute its path signature which takes values in the tensor algebra of that vector space. The composition of these two operations - barcode to path, path to tensor series - results in a feature map that has several desirable properties for statistical learning, such as universality and characteristicness, and achieves state-of-the-art results on common classification benchmarks.},
-  archiveprefix = {arXiv},
-  creationdate  = {2019-01-23T00:00:00},
-  eprint        = {http://arxiv.org/abs/1806.00381v1},
-  file          = {:Persistence/StatsAndPersistence/Machine Learning/Chevyrev2018.pdf:PDF;:Chevyrev2018 - Persistence Paths and Signature Features in Topological Data Analysis.pdf:PDF:http\://arxiv.org/pdf/1806.00381v1},
-  keywords      = {stat.ML, cs.LG, math.PR, math.ST, stat.TH, featurization},
-  primaryclass  = {stat.ML},
-}
-
-@InProceedings{Reininghaus2015,
-  author       = {Reininghaus, Jan and Huber, Stefan and Bauer, Ulrich and Kwitt, Roland},
-  booktitle    = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
-  title        = {A Stable Multi-Scale Kernel for Topological Machine Learning},
-  year         = {2015},
-  month        = {June},
-  creationdate = {2017-01-30T00:00:00},
-  file         = {Reininghaus2015.pdf:Persistence/StatsAndPersistence/Reininghaus2015.pdf:PDF},
-  readstatus   = {read},
-}
-
 @Article{Dey2022,
   doi = {10.48550/arxiv.2204.11080},
   url = {https://arxiv.org/abs/2204.11080},
@@ -463,18 +429,6 @@ @Article{Munch2017
   doi            = {10.18608/jla.2017.42.6},
 }
 
-@Article{McCullough2015,
-  author    = {McCullough, Michael and Small, Michael and Stemler, Thomas and Iu, Herbert Ho-Ching},
-  title     = {Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems},
-  journal   = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
-  year      = {2015},
-  volume    = {25},
-  number    = {5},
-  pages     = {053101},
-  file      = {:Dynamics/McCullough2015.pdf:PDF;McCullough2015-arxiv.pdf:Dynamics/TSA/McCullough2015-arxiv.pdf:PDF},
-  publisher = {AIP Publishing},
-}
-
 @Article{Wang2016,
   author    = {Wang, Minggang and Tian, Lixin},
   journal   = {Physica A: Statistical Mechanics and its Applications},
@@ -517,14 +471,85 @@ @Article{Tanweer2024_PREM
   url       = {http://dx.doi.org/10.1016/j.probengmech.2024.103634},
 }
 
+@Conference{Myers2020,
+  author    = {Myers, Audun D. and Melih Yesilli and Sarah Tymochko and Firas Khasawneh and Elizabeth Munch},
+  booktitle = {Topological Data Analysis and Beyond Workshop at NeurIPS 2020},
+  title     = {Teaspoon: A comprehensive python package for topological signal processing},
+  year      = {2020},
+  image     = {teaspoon.png},
+  keywords  = {conference},
+  url       = {https://openreview.net/pdf?id=qUoVqrIcy2P},
+}
+
+@Article{CrawleyBoevey2015,
+  author    = {Crawley-Boevey, William},
+  journal   = {Journal of Algebra and Its Applications},
+  title     = {Decomposition of pointwise finite-dimensional persistence modules},
+  year      = {2015},
+  issn      = {1793-6829},
+  month     = mar,
+  number    = {05},
+  pages     = {1550066},
+  volume    = {14},
+  doi       = {10.1142/s0219498815500668},
+  publisher = {World Scientific Pub Co Pte Lt},
+}
+
+@InProceedings{Myers2023b,
+  author    = {Myers, Audun D. and Kvinge, Henry and Emerson, Tegan},
+  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
+  title     = {TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data},
+  year      = {2023},
+  month     = {June},
+  pages     = {600-609},
+  doi       = {10.1109/cvprw59228.2023.00067}
+}
+
+@Article{Chevyrev2018,
+  author={Chevyrev, Ilya and Nanda, Vidit and Oberhauser, Harald},
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
+  title={Persistence Paths and Signature Features in Topological Data Analysis}, 
+  year={2020},
+  volume={42},
+  number={1},
+  pages={192-202},
+  keywords={Bars;Extraterrestrial measurements;Algebra;Data analysis;Kernel;Topological data analysis;barcodes;signature features;kernel learning},
+  doi={10.1109/TPAMI.2018.2885516}}
+
+
+@InProceedings{Reininghaus2015,
+  author={Reininghaus, Jan and Huber, Stefan and Bauer, Ulrich and Kwitt, Roland},
+  booktitle={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, 
+  title={A stable multi-scale kernel for topological machine learning}, 
+  year={2015},
+  volume={},
+  number={},
+  pages={4741-4748},
+  keywords={Yttrium},
+  doi={10.1109/CVPR.2015.7299106}}
+
+@Article{McCullough2015,
+  author    = {McCullough, Michael and Small, Michael and Stemler, Thomas and Iu, Herbert Ho-Ching},
+  title     = {Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems},
+  journal   = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
+  year      = {2015},
+  volume    = {25},
+  number    = {5},
+  pages     = {053101},
+  doi       = {10.1063/1.4919075},
+  file      = {:Dynamics/McCullough2015.pdf:PDF;McCullough2015-arxiv.pdf:Dynamics/TSA/McCullough2015-arxiv.pdf:PDF},
+  publisher = {AIP Publishing},
+}
+
 
 @article{myers2024delay,
   title={Delay parameter selection in permutation entropy using topological data analysis},
   author={Myers, Audun D and Chumley, Max M and Khasawneh, Firas A},
   journal={La Matematica},
   pages={1--34},
   year={2024},
-  publisher={Springer}
+  publisher={Springer},
+  doi = {10.1007/s44007-024-00110-4}
 }
 
 @article{chelidze2017reliable,
@@ -535,7 +560,8 @@ @article{chelidze2017reliable
   number={5},
   pages={051024},
   year={2017},
-  publisher={American Society of Mechanical Engineers}
+  publisher={American Society of Mechanical Engineers},
+  doi = {10.1115/1.4036814}
 }
 
 @article{cao1997practical,
@@ -546,17 +572,19 @@ @article{cao1997practical
   number={1-2},
   pages={43--50},
   year={1997},
-  publisher={Elsevier}
-}
-
-@Conference{Myers2020,
-  author    = {Myers, Audun D. and Melih Yesilli and Sarah Tymochko and Firas Khasawneh and Elizabeth Munch},
-  booktitle = {Topological Data Analysis and Beyond Workshop at NeurIPS 2020},
-  title     = {Teaspoon: A comprehensive python package for topological signal processing},
-  year      = {2020},
-  image     = {teaspoon.png},
-  keywords  = {conference},
-  url       = {https://openreview.net/pdf?id=qUoVqrIcy2P},
+  publisher={Elsevier},
+  doi = {10.1016/s0167-2789(97)00118-8}
+}
+
+@Book{Hatcher,
+  author       = {Allen Hatcher},
+  publisher    = {Cambridge University Press},
+  title        = {Algebraic Topology},
+  year         = {2002},
+  creationdate = {2011-05-23T00:00:00},
+  file         = {Hatcher - algebraic topology.pdf:MathTextbooks/Hatcher - algebraic topology.pdf:PDF},
+  groups       = {Classic Textbooks},
+  owner        = {liz},
 }
 
 @Comment{jabref-meta: databaseType:bibtex;}