207 citations · 1.4k across the 102 of their papers we have counts for
6 papers · 1 filter
Judging a Book By its Cover
Brian Kenji Iwana, Syed Tahseen Raza Rizvi, Sheraz Ahmed +2
Book covers communicate information to potential readers, but can that same information be learned by computers? We propose using a deep Convolutional Neural Network (CNN) to predi…
A Novel Approach for Data-Driven Automatic Site Recommendation and Selection
Sebastian Baumbach, Frank Wittich, Florian Sachs +2
This paper presents a novel, generic, and automatic method for data-driven site selection. Site selection is one of the most crucial and important decisions made by any company. Su…
An Evolutionary Algorithm to Learn SPARQL Queries for Source-Target-Pairs: Finding Patterns for Human Associations in DBpedia
Jörn Hees, Rouven Bauer, Joachim Folz +2
Efficient usage of the knowledge provided by the Linked Data community is often hindered by the need for domain experts to formulate the right SPARQL queries to answer questions. F…
AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis
Sebastian Sager, Benjamin Elizalde, Damian Borth +3
Recently, sound recognition has been used to identify sounds, such as car and river. However, sounds have nuances that may be better described by adjective-noun pairs such as slow…
TSSort: Probabilistic Noise Resistant Sorting
Jörn Hees, Benjamin Adrian, Ralf Biedert +2
In this paper we present TSSort, a probabilistic, noise resistant, quickly converging comparison sort algorithm based on Microsoft TrueSkill. The algorithm combines TrueSkill's upd…
A Generic Method for Automatic Ground Truth Generation of Camera-captured Documents
Sheraz Ahmed, Muhammad Imran Malik, Muhammad Zeshan Afzal +4
The contribution of this paper is fourfold. The first contribution is a novel, generic method for automatic ground truth generation of camera-captured document images (books, magaz…