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daniel-at-world.blogspot.com

Daniel@World

A blog about Pattern Recognition, AI and my life in grad school at georgia tech

http://daniel-at-world.blogspot.com/

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Daniel@World | daniel-at-world.blogspot.com Reviews
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A blog about Pattern Recognition, AI and my life in grad school at georgia tech
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Daniel@World | daniel-at-world.blogspot.com Reviews

https://daniel-at-world.blogspot.com

A blog about Pattern Recognition, AI and my life in grad school at georgia tech

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1

Daniel@World: ICASSP: Pattern Discovery in Dolphin Whistles

http://www.daniel-at-world.blogspot.com/2014/08/icassp-pattern-discovery-in-dolphin.html

Machine Learning, Data Science, Computer Vision. Friday, August 15, 2014. ICASSP: Pattern Discovery in Dolphin Whistles. Abstract of my ICASSP 2014. Paper on Dolphin Communication Mining:. Location: 27711 Osterholz-Scharmbeck, Germany. Subscribe to: Post Comments (Atom). I am a Data Scientist working at the social network Xing in Hamburg. My main interests are in Machine Learning and Data Analysis, Artificial Intelligence, Wearable Computing and Pattern Recognition. . View my complete profile.

2

Daniel@World: Spectrogram Interest Points: Shazaam

http://www.daniel-at-world.blogspot.com/2014/11/spectrogram-interest-points-shazaam.html

Machine Learning, Data Science, Computer Vision. Tuesday, November 11, 2014. Spectrogram Interest Points: Shazaam. After some time, I decided to write another blog post. This time I want to talk about what one can do with local interest points in a spectrogram. An interest point in a spectrogram is a point of high magnitude in time and frequency. Normally we use points that are a local maximum in a small region. For indexing is extracting such interest points from the spectrogram and continues to. Buildi...

3

Daniel@World: Thoughts on EM - Clustering: Hierarchical Agglomerative Clustering

http://www.daniel-at-world.blogspot.com/2013/01/thoughts-on-em-clustering-hierarchical.html

Machine Learning, Data Science, Computer Vision. Tuesday, January 22, 2013. Thoughts on EM - Clustering: Hierarchical Agglomerative Clustering. A common clustering algorithm for continues data is using Expectation-Maximisation. Of Gaussian Mixture Models. In short a Gaussian Mixture Model is a joint distribution of k- Gaussians. Each of them has a prior probability of picking that gaussian. The joint probability of that model is given as:. Location: Atlanta, GA, USA. Subscribe to: Post Comments (Atom).

4

Daniel@World: A night in stockholm airport

http://www.daniel-at-world.blogspot.com/2014/08/a-night-in-stockholm.html

Machine Learning, Data Science, Computer Vision. Thursday, August 21, 2014. A night in stockholm airport. Traveling back to the US for the fall semester at tech, I have a stop for a night in Stockholm / Sweden. Since I am bored I will blog about it :D. I arrive in Sweden at 12AM August 21st and leave the following day at 10 PM:. I just bought a completely overpriced plate of swedish meet balls. It was a disappointing experience and I think the ones you get at Ikea are better. Furthermore,. Podcasts can l...

5

Daniel@World: Convolutional Restricted Boltzmann Machines and Restricted Boltzmann Machines

http://www.daniel-at-world.blogspot.com/2014/01/convolutional-restricted-boltzmann.html

Machine Learning, Data Science, Computer Vision. Thursday, January 30, 2014. Convolutional Restricted Boltzmann Machines and Restricted Boltzmann Machines. During Christmas I started reading about Convolutional Restricted Boltzmann Machines. While I was reading and implementing Restricted Boltzmann Machines and Deep Belief Networks last semester I got curious about this other type of neural network. I will give a brief overview about both models and how they can be used for feature learning. While the sc...

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dkohl.org dkohl.org

Daniel Kyu Hwa Kohlsdorf

http://www.dkohl.org/projects.html

AI - University Bremen. Here I list some of my more recent projects. The projects range from a wearable device teaching users to play piano, a user interface to generate gesture recognizers that show a low false positive rate and a project on dolphin communication. If you want to know more then provided on this page please check my CV. For more information or directly email me. Especially if you are interested in code or data for the experiments. Some other stuff I did:.

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Daniel@World

My life as a grad student. Monday, July 13, 2015. I will start working for a social network in August. My new job is data scientist at the business network Xing. I decided to play with their open API a little. The Xing API gives access to users in the network as well as their contact list. So an external app can analyze the social graph. Well actually there are restrictions on the number of queries so it is possible to. From a start node. That means at every node the algorithm expands all. X x[:id]} if r...

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