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The state-of-the-art in time series classification has come a long way, from the 1NN-DTW algorithm to the ROCKET family of classifiers. However, in the current fast-paced development of new classifiers, taking a step back and performing simple ...

OCR approaches have been widely advanced in recent years thanks to the resurgence of deep learning. However, to the best of our knowledge, there is little work on Mongolian movable-type document recognition. One major hurdle is the lack of a ...

In metric search, worst-case analysis is of little value, as the search invariably degenerates to a linear scan for ill-behaved data. Consequently, much effort has been expended on more nuanced descriptions of what performance might in fact be ...

Current fixed and mobile networks' behavior is rapidly changing, which calls for flexible monitoring approaches to avoid loosing track with such a fast evolutionary pace. Due to the many challenges that this scenario is posing to network managers, we ...

We present a study of which baseline to use when testing a new retrieval technique. In contrast to past work, we show that measuring a statistically significant improvement over a weak baseline is not a good predictor of whether a similar improvement ...

The growing emphasis on market-based solutions to environmental problems, both under and outside of the United Nations Framework Convention on Climate Change, means that carbon sequestered in the biomass and soils of agroforestry systems is likely to ...