5 citations · 11 across the 7 of their papers we have counts for
5 papers · 1 filter
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural Networks
Tianyi Hu, Monika Kwiatkowski, Simon Matern +1
In this work, we present a method for landmark retrieval that utilizes global and local features. A Siamese network is used for global feature extraction and metric learning, which…
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Xueyuan Lin, Chengjin Xu, Haihong E +6
Multi-hop logical reasoning over knowledge graph (KG) plays a fundamental role in many artificial intelligence tasks. Recent complex query embedding (CQE) methods for reasoning foc…
FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning
Xueyuan Lin, Haihong E, Gengxian Zhou +4
Current best performing models for knowledge graph reasoning (KGR) introduce geometry objects or probabilistic distributions to embed entities and first-order logical (FOL) queries…
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks
Sina Shahhosseini, Tianyi Hu, Dongjoo Seo +4
Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Collaborative end-edge-cloud computing for dee…
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks
Sina Shahhosseini, Dongjoo Seo, Anil Kanduri +5
Deep-learning-based intelligent services have become prevalent in cyber-physical applications including smart cities and health-care. Deploying deep-learning-based intelligence nea…