Matches in SemOpenAlex for { <https://semopenalex.org/work/W3179709349> ?p ?o ?g. }
- W3179709349 endingPage "11" @default.
- W3179709349 startingPage "1" @default.
- W3179709349 abstract "Constrained by the limitations of learning toolkits engineered for other applications, such as those in image processing, many mesh-based learning algorithms employ data flows that would be atypical from the perspective of conventional geometry processing. As an alternative, we present a technique for learning from meshes built from standard geometry processing modules and operations. We show that low-order eigenvalue/eigenvector computation from operators parameterized using discrete exterior calculus is amenable to efficient approximate backpropagation, yielding spectral per-element or per-mesh features with similar formulas to classical descriptors like the heat/wave kernel signatures. Our model uses few parameters, generalizes to high-resolution meshes, and exhibits performance and time complexity on par with past work." @default.
- W3179709349 created "2021-07-19" @default.
- W3179709349 creator A5036542947 @default.
- W3179709349 creator A5086064947 @default.
- W3179709349 date "2021-07-19" @default.
- W3179709349 modified "2023-10-16" @default.
- W3179709349 title "HodgeNet" @default.
- W3179709349 cites W1629010235 @default.
- W3179709349 cites W1644641054 @default.
- W3179709349 cites W1951806617 @default.
- W3179709349 cites W1995055488 @default.
- W3179709349 cites W2003940193 @default.
- W3179709349 cites W2007206727 @default.
- W3179709349 cites W2013442102 @default.
- W3179709349 cites W2025044072 @default.
- W3179709349 cites W2036163530 @default.
- W3179709349 cites W2036934272 @default.
- W3179709349 cites W2039030082 @default.
- W3179709349 cites W2046644584 @default.
- W3179709349 cites W2047161559 @default.
- W3179709349 cites W2052917820 @default.
- W3179709349 cites W2054010298 @default.
- W3179709349 cites W2079552990 @default.
- W3179709349 cites W2091715846 @default.
- W3179709349 cites W2091791686 @default.
- W3179709349 cites W2093544140 @default.
- W3179709349 cites W2100657858 @default.
- W3179709349 cites W2100792560 @default.
- W3179709349 cites W2103975664 @default.
- W3179709349 cites W2127025496 @default.
- W3179709349 cites W2132582440 @default.
- W3179709349 cites W2141411966 @default.
- W3179709349 cites W2154567221 @default.
- W3179709349 cites W2341600683 @default.
- W3179709349 cites W2518780089 @default.
- W3179709349 cites W2558460151 @default.
- W3179709349 cites W2558748708 @default.
- W3179709349 cites W2565662353 @default.
- W3179709349 cites W2594727217 @default.
- W3179709349 cites W2598765648 @default.
- W3179709349 cites W2730617731 @default.
- W3179709349 cites W2730663555 @default.
- W3179709349 cites W2732960865 @default.
- W3179709349 cites W2737081152 @default.
- W3179709349 cites W2768308213 @default.
- W3179709349 cites W2780485466 @default.
- W3179709349 cites W2791092480 @default.
- W3179709349 cites W2797997528 @default.
- W3179709349 cites W2798937014 @default.
- W3179709349 cites W2891396148 @default.
- W3179709349 cites W2902078856 @default.
- W3179709349 cites W2903179262 @default.
- W3179709349 cites W2948325429 @default.
- W3179709349 cites W2962865163 @default.
- W3179709349 cites W2962936676 @default.
- W3179709349 cites W2963021451 @default.
- W3179709349 cites W2963084622 @default.
- W3179709349 cites W2963242400 @default.
- W3179709349 cites W2963991385 @default.
- W3179709349 cites W2964087796 @default.
- W3179709349 cites W2981532110 @default.
- W3179709349 cites W3019397668 @default.
- W3179709349 cites W3027664992 @default.
- W3179709349 cites W3035386024 @default.
- W3179709349 cites W3035472394 @default.
- W3179709349 cites W3035612424 @default.
- W3179709349 cites W3080385371 @default.
- W3179709349 cites W3101027576 @default.
- W3179709349 cites W3102104021 @default.
- W3179709349 cites W3102509876 @default.
- W3179709349 cites W3106779726 @default.
- W3179709349 cites W3124193169 @default.
- W3179709349 cites W3124359805 @default.
- W3179709349 cites W4248870381 @default.
- W3179709349 cites W4252599270 @default.
- W3179709349 cites W4254707034 @default.
- W3179709349 cites W4255808865 @default.
- W3179709349 doi "https://doi.org/10.1145/3450626.3459797" @default.
- W3179709349 hasPublicationYear "2021" @default.
- W3179709349 type Work @default.
- W3179709349 sameAs 3179709349 @default.
- W3179709349 citedByCount "18" @default.
- W3179709349 countsByYear W31797093492021 @default.
- W3179709349 countsByYear W31797093492022 @default.
- W3179709349 countsByYear W31797093492023 @default.
- W3179709349 crossrefType "journal-article" @default.
- W3179709349 hasAuthorship W3179709349A5036542947 @default.
- W3179709349 hasAuthorship W3179709349A5086064947 @default.
- W3179709349 hasBestOaLocation W31797093491 @default.
- W3179709349 hasConcept C11413529 @default.
- W3179709349 hasConcept C115961682 @default.
- W3179709349 hasConcept C118615104 @default.
- W3179709349 hasConcept C121332964 @default.
- W3179709349 hasConcept C121684516 @default.
- W3179709349 hasConcept C154945302 @default.
- W3179709349 hasConcept C158693339 @default.
- W3179709349 hasConcept C165464430 @default.
- W3179709349 hasConcept C2779521785 @default.