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Papers/0-1 laws for pattern occurrences in phylogenetic trees and...

0-1 laws for pattern occurrences in phylogenetic trees and networks

François Bienvenu, Mike Steel

2024-02-07Weakly-Supervised Semantic SegmentationText-to-Image Generation3D Anomaly Detection and SegmentationVideo Object DetectionZero-shot 3D Point Cloud ClassificationStyle TransferAutomated Theorem ProvingShadow RemovalDeepFake DetectionObject TrackingInformativenessFace SwappingUnconditional Video Generation10-shot image generationUnsupervised Domain Adaptation3D Face ReconstructionObject Detection
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Abstract

In a recent paper, the question of determining the fraction of binary trees that contain a fixed pattern known as the snowflake was posed. We show that this fraction goes to 1, providing two very different proofs: a purely combinatorial one that is quantitative and specific to this problem; and a proof using branching process techniques that is less explicit, but also much more general, as it applies to any fixed patterns and can be extended to other trees and networks. In particular, it follows immediately from our second proof that the fraction of $d$-ary trees (resp. level-$k$ networks) that contain a fixed $d$-ary tree (resp. level-$k$ network) tends to $1$ as the number of leaves grows.

Results

TaskDatasetMetricValueModel
Facial Recognition and Modelling^(#$!@#$)(()))******10%2Ganesh deka
Video^(#$!@#$)(()))******0..5sec1111左右
Anomaly DetectionDrivAerNet0-shot MRR10Akia
Face Reconstruction^(#$!@#$)(()))******10%2Ganesh deka
3D^(#$!@#$)(()))******10%2Ganesh deka
3D Face Modelling^(#$!@#$)(()))******10%2Ganesh deka
3D Face Reconstruction^(#$!@#$)(()))******10%2Ganesh deka
Video Generation^(#$!@#$)(()))******0..5sec1111左右
2D Human Pose Estimation^(#$!@#$)(()))******-113srishti
2D Classification^(#$!@#$)(()))******-113srishti
10-shot image generationMusic210..5sec5song
10-shot image generation^(#$!@#$)(()))******10%2Ganesh deka

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