A new method of feature fusion and its application in image recognition
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.266 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- Pattern Recognition
- Topic
- Face and Expression Recognition
- Field
- Computer Science
- Canadian institutions
- —
- Funders
- Concordia University
- Keywords
- Pattern recognition (psychology)Canonical correlationArtificial intelligenceFeature vectorFeature (linguistics)Projection (relational algebra)Facial recognition systemComputer scienceLinear discriminant analysisFace (sociological concept)Feature extractionMathematicsRange (aeronautics)Algorithm
- Has abstract in OpenAlex
- no