Here is a more recent paper [1] from Pentti Kanerva that gives a great introduction: http://www.rctn.org/vs265/kanerva09-hyperdimensional.pdf. More papers can be found with the query "vector symbolic architecture". I…
While it is difficult to get a useful signal out of EEG, a PCA doesn't show that there is only one 'channel'. A lot of interesting signals have very low power. With multiple EEG sensors, one can focus on smaller spatial…
The reservoir can compute non-linear functions of the input over time. So, with a reservoir, you can train a linear projection of the reservoir state that responds non-linearly to the input. Without the reservoir, the…
Further, these inputs were /optimized/ to confuse the particular classification software. If only we would be able to optimise optical illusions for a given human viewer...
> They only have enough room to tersely describe directly relevant background material and will assume you are knowledgable in the domain. I feel like it just is the dominant style; it doesn't have to be that way.…
> For those with positive coefficients we can expect that the language is associated with, ceteris paribus, a greater number of defect fixes. These languages include C, C++, JavaScript, Objective-C, Php, and Python. The…
I don't know, I think I used about 40 languages. The beauty is that zip-compression captures rich statistical properties of the languages, so representation-wise it should come a long way. But counting compressed output…
One method that I have used in the past was über-simple, yet extremely effective. It exploits ZIP compression, based on the the insight/assumption that two concatenated texts compress beter when they share their…
Like other people, I use the 'dipping in the stream' approach. Still, vocal people drown some of the other people. I am experimenting a bit with machine learning methods to rank tweets based on how interesting I find…
No, not without some radical new insights :). But, why replace them? If you need something to replace them, probably you have a different need (e.g. hands-free, private communication, or expressing something that is…
Google Glass and the Oculus Rift are very interesting for us, since it puts technology right on the spot where we need to acquire signals for brain-computer interfaces. FYI, there was a successful crowd-source campaign…
Hmm, difficult question. In the US there are some groups doing very advanced work with implants to restore limb or prosthesis control, and there are some very impressive movies of monkey's controlling robotic arms. But…
I have a background in these so-called brain computer interfaces. Typically, research know some of the properties of the EEG signal during specific tasks. Using signal processing and machine learning methods (and…
Could this training effect of a PhD perhaps be the reason that people switch fields? When starting, one's field of research seems very promising and exciting. At the end though, one knows enough to see limitations in…
So, which one is the crappy laptop? The Lenovo, or the Macbook?
Here is a more recent paper [1] from Pentti Kanerva that gives a great introduction: http://www.rctn.org/vs265/kanerva09-hyperdimensional.pdf. More papers can be found with the query "vector symbolic architecture". I…
While it is difficult to get a useful signal out of EEG, a PCA doesn't show that there is only one 'channel'. A lot of interesting signals have very low power. With multiple EEG sensors, one can focus on smaller spatial…
The reservoir can compute non-linear functions of the input over time. So, with a reservoir, you can train a linear projection of the reservoir state that responds non-linearly to the input. Without the reservoir, the…
Further, these inputs were /optimized/ to confuse the particular classification software. If only we would be able to optimise optical illusions for a given human viewer...
> They only have enough room to tersely describe directly relevant background material and will assume you are knowledgable in the domain. I feel like it just is the dominant style; it doesn't have to be that way.…
> For those with positive coefficients we can expect that the language is associated with, ceteris paribus, a greater number of defect fixes. These languages include C, C++, JavaScript, Objective-C, Php, and Python. The…
I don't know, I think I used about 40 languages. The beauty is that zip-compression captures rich statistical properties of the languages, so representation-wise it should come a long way. But counting compressed output…
One method that I have used in the past was über-simple, yet extremely effective. It exploits ZIP compression, based on the the insight/assumption that two concatenated texts compress beter when they share their…
Like other people, I use the 'dipping in the stream' approach. Still, vocal people drown some of the other people. I am experimenting a bit with machine learning methods to rank tweets based on how interesting I find…
No, not without some radical new insights :). But, why replace them? If you need something to replace them, probably you have a different need (e.g. hands-free, private communication, or expressing something that is…
Google Glass and the Oculus Rift are very interesting for us, since it puts technology right on the spot where we need to acquire signals for brain-computer interfaces. FYI, there was a successful crowd-source campaign…
Hmm, difficult question. In the US there are some groups doing very advanced work with implants to restore limb or prosthesis control, and there are some very impressive movies of monkey's controlling robotic arms. But…
I have a background in these so-called brain computer interfaces. Typically, research know some of the properties of the EEG signal during specific tasks. Using signal processing and machine learning methods (and…
Could this training effect of a PhD perhaps be the reason that people switch fields? When starting, one's field of research seems very promising and exciting. At the end though, one knows enough to see limitations in…
So, which one is the crappy laptop? The Lenovo, or the Macbook?