Ignazio Gallo

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 …

Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition

2019

With the massive explosion of social media platforms such as Twitter and Instagram, people everyday share billions of multimedia posts, containing images and text. Typically, text in these posts is short, informal and noisy, leading …