IAM

Meet me at CVPR'18: Tuesday, June 19th, I will be presenting our work on weakly-supervised 3D shape completion.

TAG»MATLAB«

12thDECEMBER2017

PROJECT

A two-layer perceptron for digit classification on MNIST implemented in MatLab.

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05thDECEMBER2016

PROJECT

A comprehensive comparison and evaluation of 28 superpixel algorithms on 5 different datasets; published in CVIU and GCPR.

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ARTICLE

Fast, Multi-Label Connected Components in MatLab

This article presents a MatLab MEX wrapper for a fast, multi-label connected components implementation in C++ originally written by Ali Rahimi.

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08thJANUARY2015

PROJECT

A comparison of several state-of-the-art superpixel algorithms using an extended version of the Berkeley Segmentation Benchmark.

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ARTICLE

Recognizing Handwritten Digits using a Two-Layer Perceptron and the MNIST Dataset

In the course of my seminar paper on neural networks and their usage in pattern recognition I came across the MNIST dataset. The MNIST dataset provides test and validation images of handwritten digits. As result, I implemented a two-layer perceptron in MatLab to apply my knowledge of neural networks to the problem of recognizing handwritten digits.

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ARTICLE

Seminar Paper “Introduction to Neural Networks”

During my fifth semester at RWTH Aachen University I participated in a seminar offered by the Chair of Computer Science 6 on “Selected Topics in Human Language Technology and Pattern Recognition”. As result, I wrote a seminar paper on neural networks for pattern recognition titled “Introduction to Neural Networks”. At the end of the seminar, all participants had to give a short talk on their topic. Both my seminar paper and my slides of the talk can be found here.

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