…Connotation and Search. The framework is called SSTS (Symbolic Search in Time Series) and uses regular expression queries to search the desired patterns in a symbolic representation of the signal….
…detail and compare existing model-driven and data-driven approaches that provide short-term real-time traffic predictions. This research leads to an understanding of the many advantages, disadvantages and trade-offs of the approaches…
In microblog retrieval, query expansion can be essential to obtain good search results due to the short size of queries and posts. Since information in microblogs is highly dynamic, an…
This work presents an investigation of the potential benefits of customizing the analysis of long-term ECG signals, collected from individuals using wearable sensors, by incorporating small amount of data from…
inRes 2014 and 2015 Closing Session Showcases Short and Long Term Impact on the Teams On December 3 rd , 2015, the CMU Portugal Program held the Closing Session of…
…education and research by engaging in dual degree professional master’s and doctoral programs and by participating in innovative research projects. The Carnegie Mellon Portugal program has graduated 200 professional master’s…
…the research community are seldom reported in the literature. The objectives of this paper are two-fold: First, discuss the technical and social constraints of real-world deployments. This includes, for example,…
We propose a novel methodology for cross-context analysis in person re-identification using 3D features acquired from consumer grade depth sensors. Such features, although theoretically invariant to perspective changes, are nevertheless…
We propose a technique for learning representations of parser states in transitionbased dependency parsers. Our primary innovation is a new control structure for sequence-to-sequence neural networks— the stack LSTM. Like…
