Muhammad Kamran Janjua

Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions

2018 · arXiv (Cornell University)

Majority of the current dimensionality reduction or retrieval techniques rely on embedding the learned feature representations onto a computable metric space. Once the learned features are mapped, a distance metric aids the bridging of gaps …