Computer Vision: Deep Dive into Object Segmentation Approaches
This tutorial provides an end-to-end pipeline for performing image segmentation using the state-of-art deep learning approaches and public datasets.
Authors: Yuanbo Wang, Osama Sakhi, Ala Eddine Ayadi, Matthew Hagen, Estelle Afshar. 2020.
In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD ‘20).
Functional Aggregate Queries with Additive Inequalities
Motivated by fundamental applications in databases and relational machine learning, we formulate and study the problem of answering functional aggregate queries (FAQ) in which some of the input factors are defined by a collection of additive inequalities between variables.
Human in the Loop Enrichment of Product Graphs with Probabilistic Soft Logic
Product graphs have emerged as a powerful tool for online retailers to enhance product semantic search, catalog navigation, and recommendations. Their versatility stems from the fact that they can uniformly store and represent different relationships between products, their attributes, concepts or abstractions etc, in an actionable form.