Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"temporal sequences"”.
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Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
… relevant neural networks to learn complex temporal tasks in the presence of chaos. We showed that although reservoirs (i.e. recurrent neural networks) are robust to noise, they are extremely sensitive to some forms of structural perturbations, such as removing one neuron out of thousands. …
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Mnemonic Representations of Transient Stimuli and Temporal Sequences in the Rodent Dentate Gyrus In Vitro
… maintain representation of stimuli presented in sequences separated by short intervals. Finally, I examine the robustness of this in vitro preparation to small perturbations in sequence interval and test the hypothesis that both stimulus and sequence representations are maintained by a population …
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Childhood Sexual Abuse as an Antecedent of Problem Drinking and Sexual Dysfunction in Women
… adult women. Moreover, some researchers suggest temporal sequences in which either (a) early sexual abuse increases women's risks of sexual dysfunction, which in turn leads to increased alcohol use, or (b) the reverse, in which sexual abuse contributes to excessive drinking, which in turn impairs …
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Exploring the occupational history of the Middle Ontario Iroquoian Dorchester Village site
… to correspondence analysis to seek plausible temporal sequences. The Brainerd Robinson coefficient of similarity was used to identify plausible temporal phase groups of longhouses by comparison of vessels attributed to specific houses. Multiple ceramic attributes were explored, and the …
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Exploring deep learning based methods for information retrieval in Indian classical music
… employs efficient pre-possessing and learns temporal sequences in music data using Long Short Term Memory based Recurrent Neural Networks (LSTM-RNN). We train and test the network on smaller sequences sampled from the original audio while the final inference is performed on the audio as a …
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Accurate On-Body Distance Estimation using BLE RSSI and IMU Sensor Fusion
… model, termed QuaternionRNN, which leverages temporal sequences of normalized quaternions and RSSI to predict inter-sensor distances. The proposed model achieved a median absolute distance prediction error of approximately 3 cm on a generalized dataset. Furthermore, in a rigorous subject-wise …
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Bioimaging of animal embryogenesis: mathematical methods and computational algorithms
… addressed to cells nuclei and membranes, and temporal sequences of volumetric images are acquired with laser scanning microscopy. Cells position is detected by processing nuclei images either through the generalized form of the Hough transform or identifying nuclei position with local maxima …
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Prediction of temporal and spatial phytoplankton change in Rutland Water
Work on the temporal and spatial variation of freshwater phytoplankton in Rutland Water, Leicestershire, is reported. The species succession was found to be similar to other eutrophic lakes although total annual biomass appeared to be suppressed as a result of the destratification equipment which …
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Data mining, fraud detection and mobile telecommunications: call pattern analysis with unsupervised neural networks
… modelling. LSTM discriminates different types of temporal sequences and groups them according to a variety of features. The ordered features can later be interpreted and labeled according to specific requirements of the mobile service provider. Thus, suspicious call behaviours are isolated within …
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LEARNING STRUCTURED ALIGNMENT: FROM VISUAL UNDERSTANDING TO ROBOT CONTROL
… between different representations, temporal sequences, and task domains to enable more effective visual understanding and robot control. In the first part of this thesis, we advance visual understanding through three key contributionsthat demonstrate the power of structured alignment …
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Advancing 3D Segmentation: Deep Learning Techniques for Video and Medical Imaging
… inherent in 3D data, whether it be through temporal sequences in video analysis or another spatial dimension in medical imaging, demands innovative approaches that can accurately capture and interpret the intricacies of three-dimensional spaces. Despite the critical need, the leap from 2D to …