two papers accepted!!!

Thank God! Finally!

Thank the coauthors!

- Heeyoul Choi, Seungjin Choi, Anup Katake and Yoonsuck Choe,

"Learning Alpha-Integration with Partially-Labeled Data,"

in Proc. IEEE Int. Conf. Acousitcs, Speech and Signal Processing (ICASSP),

Dallas, Texas, March 15-19, 2010.

- Heeyoul Choi, Anup Katake, Seungjin Choi and Yoonsuck Choe,

"Alpha-Integration of Multiple Evidence,"

in Proc. IEEE Int. Conf. Acousitcs, Speech and Signal Processing (ICASSP),

Dallas, Texas, March 15-19, 2010.

- H. Choi

"Boom! Hok! A Monkey Language Is Deciphered"

http://www.nytimes.com/2009/12/08/science/08monkey.html?emc=tnt&tntemail1=y

Monkey is actually speaking!!! ???

interesting...

one more interesting point would be,

we analyze all the video/audio input and speak a lot about the understanding,

while other animals can analyze a lot of input but speaking not so much about it...

is it because their understanding is worse than ours? or just syntax is not enough?

or their memory system is worse?

think about "a dog never barks about yesterdays' burglar." (it might be not so true though)

- H. Choi

tensor analysis

"General relativity is formulated completely in the language of tensors.

Einstein had learned about them, with great difficulty, from the geometer

Marcel Grossmann. Levi-Civita then initiated a correspondence with Einstein

to correct mistakes Einstein had made in his use of tensor analysis."

- from http://en.wikipedia.org/wiki/Tensor_analysis

Einstein had learned about tensors "WITH GREAT DIFFICULTY."

And Levi-Civita wanted to correct Einstein's misunderstanding.

Hm... interesting... :)

- H. Choi

paper accepted...

I got a paper accepted to ICONIP2009 as follows... FINALLY... it's like million years ago
when we wrote it ...

Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang and Yoonsuck Choe,

"Probabilistic Combination of Multiple Evidence,"

in Proc. 16th Int. Conf. on Neural Information Processing (ICONIP),

Bangkok, Thailand, December 1-5, 2009. (to appear in LNCS)

Thank you all... and thank God...

- H. Choi

Statistics also rules!

yeap!

http://www.nytimes.com/2009/08/06/technology/06stats.html?hp

- H. Choi

machine learning rules!!!

http://tech.slashdot.org/story/09/07/03/0143233/IBM-Releases-Open-Source-Machine-Learning-Compiler

machine learning in future will be like computers today.

almost everywhere, there are computers.

now, computers are not just for computer scientists

who btw i don't think "scientists" though even i am a computer science student. :(

likewise, within decades, machine learning will be everywhere.

machine learning will rule :)

- H. Choi

superintelligence

http://www.forbes.com/2009/06/22/singularity-robots-computers-opinions-contributors-artificial-intelligence-09_land.html

http://www.forbes.com/2009/06/18/superintelligence-humanity-oxford-opinions-contributors-artificial-intelligence-09-bostrom.html

when computers get smarter than us in every thing, it seems to me the end of the world...

computers will get better (or at least same as the before) every single seconds...

and computers will never take a rest.... and they are supposed to be much faster than us...

so, once they get to have the human-level intelligence,

they will be able to prove every theories pretty soon and invent every possible machines...

so that there will be no more questions....

there is no more adventure... no more struggle, no more curiosity...

every stock market will be controlled by computers... every research will be done by computers...

computers will be much better entertainers, so that human entertainers will get fired...

basically, all the work will be done by computers... all the people will get fired...

all that we are going to do is just for fun...

but unfortuately, computers know better way how to make our pleasure...

so we will just sit and eat...and push a button for pleasure...

finally, we will be like pets to computers...

they will feed us with food and pleasure... and they do all the real fun stuff like adventure, research and enterainment...

even though they won't feel that way working on those stuff as we are not feeling fun when we work.

it means ending "the world" and starting a new world where there is no more fun... no more pain... just like a timeless space...

- H. Choi

statistical mechanics

"statistical mechanics can be viewed as a reconciliation of macroscopic thermodynamic laws with the reductionist approach of explaining macroscopic properties in terms of microscopic components."

- from wikipedia http://en.wikipedia.org/wiki/Reductionism

This is a nice explanation... :)

- H. Choi

history on manifold

history is on a manifold of space and time or we can say history is a manifold.
that's one of the reasons why we cannot understand the meaning of current
issues clearly. in that sense, the current time is on the edge of the manifold.
that's the reason why we have to look at the "past" to estimate (understand)
the meaning of "present."

still we cannot understand "present" perfectly until long time later when we can
see the issues on the manifold. then we will get to know the meanings more clearly.
unless we lose the facts, just it takes time .

- H. Choi

mirror neurons and motor theory

"Thus, to this point, whereas the exact nature of the link between speech production and perception remains to be discovered, existing evidence strongly indicates that perceptual systems have a much stronger influence on production than motor systems have on perception."

"We conclude that, rather than providing support for MT, mirror neurons are actually inconsistent with MT and are unlikely to have a central role in speech perception."

from A. J. Lotto, G. S. Hickok and L. L. Holt, "Reflections on mirror neurons and speech perception," Trends in Cognitive Sciences Vol.13 No.3, 2009. pp 110-114. 

so, how about other perception tasks rather than speech? 

still motor theory is attractive for perception at least to me, and mirror neuron theory seems like a bridge between motor theory and perception. 

- H. Choi

Uncertainty and Perception

Heisenberg Uncertainty Principle says when we observe something, our observation disturbs it. (It sounds weird.) 

Neuroscientists say the object exists only while we are observing it. (It is also weird.) 

So~ what do you say? :) 

Apr. 09, 2008

- H. Choi

being on a manifold.

Descartes said, 'I think, therefore I am.'

How can we reach to 'therefore I am' from 'I think'. 

To present data points, we need data space. Likewise, in order to reach the
conclusion 'therefore I am' we need to find the space for the existence.
Moreover, the 'being' should have any relationship with the space as in set theory. 

Thinking is not enough to be 'being' without any relationship with space
(or at least with other data points which makes the relationship with space.)

A data point is in a data space and the manifold gives more meaning to it. 

Descartes said, 'I think, therefore I am,' but God said, 'I am who I am.'

Dec. 03, 2006

- H. Choi