Bibliographic record
Abstract
This proceedings volume includes the full and short papers presented at the IEEE SMI 2005 in the Massachusetts Institute of Technology, Boston, USA, on 15-17 June, 2005. It is the seventh International Conference on Shape Modeling and Applications, which was sponsored by IEEE and scheduled within the International Convention on Shapes and Solids 2005 (ICS&S) together with the ACM Solid and Physical Modeling Symposium, with the aim of bringing together these two major international events in the field of shape modeling and processing. From 2001, the SMI conference became an annual event with the venue changing circularly from Asia to Europe and to America, and it includes the Eurographics/ACM SIGGRAPH Workshop on Implicit Surfaces as a special session. Previous conferences were organised in Japan (1997, 1999), Italy (2001), Canada (2002), and South Korea (2003). The International Convention on Shapes and Solids 2004 was held in Genova, Italy. In response to the call for papers, 80 papers were submitted out of which 30 full papers were selected for presentation and inclusion in this volume after reviewing by at least three referees per paper. The accepted contributions mainly focus on shape reconstruction, implicit and subdivision surfaces, surface meshes, topological and physically-based modeling. To highlight topics of particular importance, three additional contributions were invited. Finally, 10 short papers have been selected among the submitted short and full papers. The authors of the short papers were given time for short oral presentations, which is a new feature of the conference.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".