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Record W2912488788

Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling

2009· article· en· W2912488788 on OpenAlexaff
Dieter W. Fellner, Stephen Spencer, Nathan Carr, Faramarz Samavati, Cindy Grimm, Joseph J. LaViola

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInteractive and Immersive Displays
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSketchComputer scienceAnimationWork (physics)GraphicsLibrary scienceComputer graphics (images)Engineering
DOInot available

Abstract

fetched live from OpenAlex

Welcome to SBIM 2009! These proceedings represent the sixth year of Sketch-Based Interfaces and Modeling. Started in 2004, SBIM provides a unique venue for researchers, students and practitioners interested in sketch-based techniques to interact with one another, share lessons learned, show new results and discuss open issues. It continues to be a forum for the HCI community to present their latest work on 2D sketch-based interfaces and recognition technology and for the computer graphics community to present their latest work on sketch-based modeling. Last year, SBIM was held in Annecy, France in conjunction with the Annecy Animation Film Festival. This year, SBIM is in the United States for the second time and is co-located with ACM SIGGRAPH 2009 in New Orleans, Louisiana. This year also marks the first time that SBIM is a symposium instead of a workshop. Co-locating with SIGGRAPH broadens the attendee base and gives people the chance to experience New Orleans culture and cuisine. We had 29 paper submissions this year, which is down from the 36 submissions we had last year, but on par with previous SBIM workshops. Each paper was double blind reviewed by four members of our international program committee and we were able to accept 19 of them for the symposium. As in previous years, the quality of the submitted papers was strong, resulting in a high acceptance rate, a testament to those researchers who work in this field. The papers in these proceedings present a mix of innovative ideas in sketch recognition, 3D modeling, and sketch-based interface usability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.202

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.243
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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