I love building things. This blog in itself is one of these things. Feel free to shoot me an email.
Posts
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34C3 Day 1
Day one of the 34C3 is over. The new location in Leipzig is a lot more spacey and loftey, but I liked the old location in the CCH more. Somehow I felt that there were fewer easter-eggs and hidden nuggets than in previous congresses. I guess everyone still needs to adapt to the new environment. Hopefully in the coming days there will be more. Tomorrow will also be my first...
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Estimation theory - Kernel Density Estimation
Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic Optimization Clustering k-means Clustering Pairwise Clustering Self-Organising Maps Locally Linear Embedding Estimation Theory Density Estimation Kernel Density Estimation Parametric Density Estimation Mixture Models - Estimation Models Density Estimation The goal of density estimation is to be able to give a density estimation for each coordinate in the vector space....
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Stochastic Optimization
Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic Optimization Clustering k-means Clustering Pairwise Clustering Self-Organising Maps Locally Linear Embedding Estimation Theory Density Estimation Kernel Density Estimation Parametric Density Estimation Mixture Models - Estimation Models Simulated Annealing Simulated annealing is oriented in crystallization procedures in nature where the lowest energy state is achieved only when the temperature is...
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Clustering - k-means & SOM
Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic Optimization Clustering k-means Clustering Pairwise Clustering Self-Organising Maps Locally Linear Embedding Estimation Theory Density Estimation Kernel Density Estimation Parametric Density Estimation Mixture Models - Estimation Models K-means Clustering K-means Clustering is good at finding equally sized clusters of data points. Parameters Distance Function (Usually Euclidean) Number of clusters Drawbacks...
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Source Separation (ICA)
Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic Optimization Clustering k-means Clustering Pairwise Clustering Self-Organising Maps Locally Linear Embedding Estimation Theory Density Estimation Kernel Density Estimation Parametric Density Estimation Mixture Models - Estimation Models Independent Component Analysis (ICA) ICA allows the reconstruction of mixed signals. This could for example be multiple speakers on one audio track. Requirements...
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PCA
Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic Optimization Clustering k-means Clustering Pairwise Clustering Self-Organising Maps Locally Linear Embedding Estimation Theory Density Estimation Kernel Density Estimation Parametric Density Estimation Mixture Models - Estimation Models PCA can be used as a compression algorithm(more correctly dimensionality reduction). Its goal is to extract vectors(components) out of the sample data which...
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Unsupervised Learning Methods Exam Preparation
Following the principle “You only understood something thoroughly if you can explain it” - here come the prepping notes for Machine Intelligence II. If no sources are indicated, it comes from the lecture slides. Note This was foremostly written for my own understanding, so it might contain incomplete explanations Chapters General Terms and tools PCA PCA Hebbian Learning Kernel-PCA Source Separation ICA Infomax ICA Second Order Source Separation FastICA Stochastic...
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DocumentDeck
Today I am excited to announce the launch of DocumentDeck. DocumentDeck solves my own problem with keeping track of invoices and credentials. The documents I receive usually end up on a large pile on my desk or in a huge binder if I have my lucky day. Now I have an easy way of just scanning the documents and having them easily retrievable in the future. Uploading is as easy...
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