Essays about: "Dimensionality Reduction"
Showing result 1 - 5 of 70 essays containing the words Dimensionality Reduction.
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1. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. READ MORE
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2. Exploratory Assessment of Machine Learning, Geospatial Methods, and Data Evaluation Techniques for Modelling Cooking Fuels in Colombia
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis evaluates the application of machine learning and Geographic Information System (GIS) methods to analyze Colombia's cooking fuels landscape. The study aims to identify socio-economic and geographical factors affecting cooking fuel choices and assess the predictive power of various machine learning algorithms using associative data. READ MORE
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3. Identifying cell type-specific proliferation signatures in spatial transcriptomics data and inferring interactions driving tumour growth
University essay from Uppsala universitet/Neuroonkologi och neurodegenerationAbstract : Cancer is a dangerous disease caused by mutations in the host's genome that makes the cells proliferateuncontrollably and disrupts bodily functions. The immune system tries to prevent this, but tumours have methods ofdisrupting the immune system's ability to combat the cancer. READ MORE
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4. Towards topology-aware Variational Auto-Encoders : from InvMap-VAE to Witness Simplicial VAE
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Variational Auto-Encoders (VAEs) are one of the most famous deep generative models. After showing that standard VAEs may not preserve the topology, that is the shape of the data, between the input and the latent space, we tried to modify them so that the topology is preserved. READ MORE
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5. Organization of Electronic Dance Music by Dimensionality Reduction
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This thesis aims to produce a similarity metric for tracks of the genre: Electronic Dance Music, by taking a high-dimensional data representation of each track and then project it to a low-dimensional embedded space (2D and 3D) by applying two Dimensionality Reduction (DR) techniques called t-distributed stochastic neighbor embedding (t-SNE) and Pairwise Controlled Manifold Approximation (PaCMAP). A content-based approach is taken to identify similarity, which is defined as the distances between points in the embedded space. READ MORE