Koc University Digital Collections
metadata only
Audiovisual synchronization and fusion using canonical correlation analysis
computer-sciencecorrelationfusioninformation-systemsmultimodalsoftware-engineeringtelecommunications
It is well-known that early integration (also called data fusion) is effective when the modalities are correlated, and late integration (also called decision or opinion fusion) is optimal when modalities are uncorrelated. In this paper, we propose a new multimodal fusion strategy for open-set speake
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus#1115854
- Causal Tracing of Audio-Text Fusion in Large Audio Language Models#1064891
- Perception-Inspired Bayesian Causal Fusion for Audiovisual Source Localization#1131283
- Multimodal sensor data fusion and event recognition in IoT#680865
- Aligning Vision and Language: Harnessing Language Semantics for Efficient Vision Models#995758
Record · ID 955124
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive