Name
Abstract | ||
|---|---|---|
The development and iterative refinement of inference models for multimodal systems can be challenging and time intensive. We present a framework for multimodal data collection, visualization, annotation, and learning that enables system developers to build models using various machine learning techniques, and quickly iterate through cycles of development, deployment and refinement. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2522848.2531751 | ICMI |
Keywords | Field | DocType |
various machine,multimodal system,multimodal data collection,iterative refinement,system developer,inference model,visualization,annotation | Iterative refinement,Data collection,Computer vision,Software deployment,Annotation,Inference,Visualization,Computer science,Human–computer interaction,Artificial intelligence | Conference |
Citations | PageRank | References |
2 | 0.38 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anne Loomis Thompson | 1 | 5 | 2.22 |
| Dan Bohus | 2 | 739 | 51.64 |