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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Proceedings - International Conference on Image Processing
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

36 results · 1 filter active ·
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20022007
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
36 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 36 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 36 of 36 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
A New Shape Signature for Fourier Descriptors
A. El-ghazal, Otman Basir, Saeid Belkasim
2007· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affunlabeled
Boosting face recognition on a large-scale database
Juwei Lu, Konstantinos N. Plataniotis
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Fractal-wavelet image denoising
Mohsen Ghazel, G.H. Freeman, Edward R. Vrscay
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Rule-based scene extraction from video
Lei Chen, M. TAMER ÖZSU
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Motion estimation for region-based video coding
Viet-Nam Dang, A.-R. Mansouri, Janusz Konrad
2002· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Towards random field modeling of wavelet statistics
Zohreh Azimifar, Paul Fieguth, E. Jernigan
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Isophote estimation by cubic-spline interpolation
Qing Wang, Rabab Ward, Hongjian Shi
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Scene change detection using DC coefficients
Oliver K.-C. Bao, Ling Guan
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Error concealment using a diffusion based method
Hao Jiang, Cecilia Moloney
2003· article· en· Proceedings - International Conference on Image Processing· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

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