Exploring Fine-Grained Heterogeneity with Composite Cores

Exploring Fine-Grained Emotion Detection in Tweets

We examine if common machine learning techniques known to perform well in coarsegrained emotion and sentiment classification can also be applied successfully on a set of fine-grained emotion categories. We first describe the grounded theory approach used to develop a corpus of 5,553 tweets manually annotated with 28 emotion categories. From our preliminary experiments, we have identified two ma...

CodeWeave: Exploring Fine-Grained Mobility of Code

Ultra-Fine Grained Dual-Phase Steels

This paper provides an overview on obtaining low-carbon ultra-fine grained dual-phase steels through rapid intercritical annealing of cold-rolled sheet as improved materials for automotive applications. A laboratory processing route was designed that involves cold-rolling of a tempered martensite structure followed by a second tempering step to produce a fine grained aggregate of ferrite and ca...

Fine-Grained Comparisons with Attributes

Given two images, we want to predict which exhibits a particular visual attribute more than the other—even when the two images are quite similar. For example, given two beach scenes, which looks more calm? Given two high-heeled shoes, which is more ornate? Existing relative attribute methods rely on global ranking functions. However, rarely will the visual cues relevant to a comparison be const...

Fine Grained Information Integration with Description Logics

We outline an approach to query optimization in which a description logic (DL) reasoner serves a crucial strategic role, and present an example application of our approach in fine grained information integration. In particular, the application demonstrates how the internal structure of an unfolded Btree can be captured as a terminology, and how an access plan that navigates this internal struct...