Abstract As the number of data in various industries and government sectors is growing exponentially, the ‘7V’ concept of big data aims to create new value by indiscriminately collecting and […]
De-identification and Privacy Issues on Bigdata Transformation Read More »
Abstract Sorting is pivotal data analytics and becomes challenging with intensive computation on drastically growing data volume. Sorting on FPGA has shown superior throughput, but the limited in-system memory causes
A Two-Directional BigData Sorting Architecture on FPGAs Read More »
Abstract In this paper, we present an intelligent information kiosk called MIDAS (Multimodal Interactive-Dialogue Automaton for Self-service), including its hardware and software architecture, stages of deployment of speech recognition and
Multimodal Human Computer Interaction with MIDAS Intelligent Infokiosk Read More »
Abstract Current Conditional Functional Dependency (CFD) discovery algorithms always need a well-prepared training dataset. This condition makes them difficult to apply on large and low-quality datasets. To handle the volume
Mining conditional functional dependency rules on big data Read More »
Abstract In order to analyze the big data of people’s livelihood appeal, this paper proposes a time series modeling and algorithm to decompose the time series {x(t)} of data into
Preface: big data?(BD ) Big data can be one of the terms exists no superset of the sayings and writings related to information technology, he said. If you have a query related
What is big data? (+ Big Data applications) Read More »
Abstract In this work the following three basic research questions are discussed: (1) can significant effects of modality efficiency and input performance on the selection of input modalities in multimodal
Extending Automated Usability Evaluation Tools for Multimodal Input Read More »
Abstract We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also
Abstract This paper describes data collection and the first explorative research on the AICO Multimodal Corpus. The corpus contains eye-gaze, Kinect, and video recordings of human-robot and human-human interactions, and
The AICO Multimodal Corpus – Data Collection and Preliminary Analyses Read More »
Abstract Modeling the structure of cognitive systems is a central goal of the cognitive sciences—a goal that has greatly benefitted from the application of network science approaches. This paper provides
