CMVF:A Novel Dimension Reduction Scheme for Efficient Indexing in A Large Image Database

Summary: CMVF combines PCA with nonlinear neural networks to hybridly reduce composite image features for scalable indexing. It yields compact, discriminative vectors that fuse perceptual cues and support adding features to boost distance-based indexing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3474
Venue: SIGMOD
Year: 2003
Pagerank: -
Overall Rank: 13,718 | 4.57%
DOI: -

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