Question

The dimensionality reduction technique that efficiently represents interesting parts of an image as a compact feature vector.

Answer 1

Dimensionality reduction is classified into two approaches with regards to visual recovery and characterization. The first depends on irregular projections and would ordinarily work on descriptors for an explicit picture, while the second works over an arrangement of picture descriptors and utilization network factorization / matrix - factorization technique or k-implies bunching to distinguish the most striking descriptors to for representation of objects in video.

Techniques

1. Source code of descriptors
2. Learning based embedding
3. Random Projections
4. N, N computation

Answer 2

Answer:

Feature Extraction

Explanation:

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