Name
Title | ||
|---|---|---|
Integrating Multiple Models Using Image-as-Documents Approach for Recognizing Fine-Grained Home Contexts. |
Abstract | ||
|---|---|---|
To implement fine-grained context recognition that is accurate and affordable for general households, we present a novel technique that integrates multiple image-based cognitive APIs and light-weight machine learning. Our key idea is to regard every image as a document by exploiting "tags" derived by multiple APIs. The aim of this paper is to compare API-based models' performance and improve the recognition accuracy by preserving the affordability for general households. We present a novel method for further improving the recognition accuracy based on multiple cognitive APIs and four modules, fork integration, majority voting, score voting, and range voting. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/s20030666 | SENSORS |
Keywords | Field | DocType |
context recognition,image,cognitive APIs,machine learning,majority voting,score voting,range voting,smart home | Fork (system call),Voting,Electronic engineering,Home automation,Range voting,Artificial intelligence,Engineering,Majority rule,Cognition,Machine learning,Multiple Models | Journal |
Volume | Issue | ISSN |
20 | 3 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinan Chen | 1 | 1 | 3.14 |
| Sachio Saiki | 2 | 55 | 24.46 |
| Masahide Nakamura | 3 | 526 | 72.51 |