Proceedings of the 10th International Symposium on Smart Graphics
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Notice bibliographique
Résumé
Welcome to the International Symposium on Smart Graphics! It will bring together people from the fields of Computer Graphics, Graphics Design, Cognitive Psychology and Artificial Intelligence, all working on different aspects of computer generated graphics. After a very successful AAAI Spring Symposium on Smart Graphics in 2000 the organizing committee decided to turn the event into a self-contained symposium. Last year's event (Smart Graphics 2001) attracted our target of 30 attendees. This was despite an unfortunate clash with the ACM I3DG conference. This year we aim to increase the number of attendees without creating a conference atmosphere, the number of attendees will be capped at 50. Seeing the Smart Graphics initiative taking off so dynamically, we are expecting a great number of varied and interdisciplinary submissions, and we are looking forward to the 2002 symposium, which is generously hosted by the IBM T.J. Watson Research Center.Advances and breakthroughs in the area of Computer Graphics have made visual media a major ingredient of the modern user interface, and it is likely that graphics will play a dominant role in the way people communicate and interact with computers in the future. Especially the evolution of computing towards more and more pervasive and distributed devices pose new and challenging problems for the effective use of graphics. We believe that intelligent behavior and graphics will provide the technical core of next generation interfaces. But in order to make those interfaces successful, principles and findings from Cognitive Psychology and Graphics Design are equally important to reflect the user's needs and abilities.Until recently there has been very little overlap between the Cognitive Psychology, Computer Graphics, AI and Graphics Design communities. The Smart Graphics Symposium intends to close these gaps. Recent advances in Computer Graphics have allowed AI researchers to integrate graphics in their systems (without being burdened by low-level issues such as image rendering) and graphics acceleration hardware has become affordable and is now available for a broad range of platforms. On the other hand, many AI techniques have matured to the point of being usable by non specialists. Furthermore, these very techniques are likely to be the vehicle by which both principles from Graphics Design and the results of research in cognitive aspects of visual representations, will be integrated in next generation graphical interfaces.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle