Abstract We prove that certain families of homogenous affine iterated function systems in $\mathbb {R}^{d}$ have the property open set condition and existence exact overlaps both occur densely space translation parameters. These examples demonstrate theorems Falconer Jordan–Pollicott–Simon on almost sure dimensions self-affine sets measures, exceptional parameters can be a dense set. The proof ...

Semi-supervised learning (SSL) has been a powerful strategy to incorporate few labels in better representations. In this paper, we focus on practical scenario that one aims apply SSL when unlabeled data may contain out-of-class samples - those cannot have one-hot encoded from closed-set of classes label data, i.e., the is an open-set. Specifically, introduce OpenCoS, simple framework for handli...

This paper presents an efficient approach to automatic gunshot detection based on a combination of two feature sets: adapted standard sound features and hand-crafted novel features. The are mel-frequency cepstral coefficients for recognition in terms uniform gamma-tone filters linearly spaced over the whole frequency range from 0 kHz 16 kHz. first 18 calculated 41 represent best set optimized c...

The objective of open set recognition (OSR) is to classify the known classes as well unknown when collected samples cannot exhaust all classes. This paper proposes a loss extension that emphasizes features with larger and smaller magnitudes find representations can more effectively separate from Our contributions include: First, we introduce an be incorporated into different functions discrimin...

Traditional data-driven intelligent fault diagnosis methods have been successfully developed under the closed set assumption (CSA). CSA-based assumes that types in test are consistent with training set, which can achieve high accuracy, but this is generally not valid real-world industrial applications where collection of data often limited. As it unrealistic to assume will cover all types, appl...