Essays about: "deep learning"
Showing result 1 - 5 of 821 essays containing the words deep learning.
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1. Group Invariant Convolutional Boltzmann Machines
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is adapted to input data that is acted upon by any compact group G. READ MORE
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2. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. READ MORE
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3. Interactionwise Semantic Awareness in Visual Relationship Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Visual Relationship Detection (VRD) is a relatively young research area, where thegoal is to develop prediction models for detecting the relationships between objectsdepicted in an image. A relationship is modeled as a subject-predicate-object triplet,where the predicate (e.g an action, a spatial relation, etc. READ MORE
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4. Geo-temporal Online Analysis of Traffic Rule Violations
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Due to inattention and not complying with traffic regulations, human error accounts forroughly 94% of all traffic accidents. To counter this, the need to develop systems that canidentify traffic rule violations and calculate the risk of collisions. The information reportedcan then be used to implement preventive measures. READ MORE
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5. Deep Learning for Deep Water: Robust classification of ship wakes with expert in the loop
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This work examines the applicability of the deep learning models to pattern recognitionin acoustic ocean data. The features of the dataset include noise, data scarcityand the lack of labeled samples. A deep learning model is proposed for the task ofautomatic wake detection. READ MORE
