A Planted Clique Perspective on Hypothesis Pruning Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1109/lra.2022.3155198
Hypothesis pruning is an important prerequisite while working with outlier-contaminated data in many computer vision problems. However, the underlying random data structures are barely explored in the literature, limiting designing efficient algorithms. To this end, we provide a novel graph-theoretic perspective on hypothesis pruning exploiting invariant structures of data. We introduce the planted clique model, a central object in computational statistics, to investigate the information-theoretical and computational limits of the hypothesis pruning problem. In addition, we propose an inductive learning framework for finding hidden cliques that learns heuristics on synthetic graphs with planted cliques and generalizes to real vision problems. We present competitive experimental results with large runtime improvement on synthetic and widely used vision datasets to show its efficacy.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/lra.2022.3155198
- https://ieeexplore.ieee.org/ielx7/7083369/9647862/09723644.pdf
- OA Status
- hybrid
- Cited By
- 9
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4214916165
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4214916165Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/lra.2022.3155198Digital Object Identifier
- Title
-
A Planted Clique Perspective on Hypothesis PruningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-01Full publication date if available
- Authors
-
Muyuan Lin, Varun Murali, Sertaç KaramanList of authors in order
- Landing page
-
https://doi.org/10.1109/lra.2022.3155198Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/7083369/9647862/09723644.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/7083369/9647862/09723644.pdfDirect OA link when available
- Concepts
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Heuristics, Pruning, Computer science, Clique, Perspective (graphical), Machine learning, Theoretical computer science, Outlier, Invariant (physics), Artificial intelligence, Graph, Mathematics, Operating system, Biology, Mathematical physics, Agronomy, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2106976646, https://openalex.org/W2963188159, https://openalex.org/W2134138606, https://openalex.org/W1988874269, https://openalex.org/W1993267444, https://openalex.org/W2095905764, https://openalex.org/W2085261163, https://openalex.org/W2046033161, https://openalex.org/W2152701363, https://openalex.org/W2967579851, https://openalex.org/W2593721734, https://openalex.org/W2088616581, https://openalex.org/W3111598592, https://openalex.org/W2119801619, https://openalex.org/W2166820607, https://openalex.org/W2107466766, https://openalex.org/W2912521810, https://openalex.org/W3205426526, https://openalex.org/W3207682209, https://openalex.org/W1823437338, https://openalex.org/W2401610261, https://openalex.org/W1972913305, https://openalex.org/W2143724791, https://openalex.org/W2069488552, https://openalex.org/W2062307640, https://openalex.org/W2166602562, https://openalex.org/W2078758709, https://openalex.org/W2600681475, https://openalex.org/W6777033515, https://openalex.org/W2943555824, https://openalex.org/W6736495275, https://openalex.org/W6763777643, https://openalex.org/W6779641175, https://openalex.org/W4252973173, https://openalex.org/W6720006811, https://openalex.org/W6726873649, https://openalex.org/W6754929296, https://openalex.org/W6760001035, https://openalex.org/W132147841, https://openalex.org/W2566265240, https://openalex.org/W6760045743, https://openalex.org/W6631190155, https://openalex.org/W6747827861, https://openalex.org/W1526868886, https://openalex.org/W3003344567, https://openalex.org/W2964014140, https://openalex.org/W3099343074, https://openalex.org/W4320472753, https://openalex.org/W2786036844 |
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