If we want to learn a new concept we may ask for a definition. This might be good in mathematics, but in real life it is often better to get some examples. Let us, for instance, try to understand what despair means. The dictionary tells us that it means ‘loss of hope’. This is just…
PR System Archives
Is every pattern recognition problem a small sample size problem?
Monday, February 23rd, 2015 at
14:56
Pattern recognition: for better or worse?
Monday, June 17th, 2013 at
00:00
It starts as an innocent curiosity: humans recognize patterns in the surrounding world. It helps them to communicate and survive. How do they do this? How do they detect a pattern? How is it defined and recognized? However, once it is understood somewhat, it is applied. Pattern recognition is mainly an engineering field after all….
Qualities and Quantities
Monday, June 3rd, 2013 at
00:00
Properties can be distinguished in qualities and quantities. In decision making it is essential to know them. If we have to judge a candidate for a position, if we want to buy a car, if we select a restaurant, if we try to find our way through the world, properties of people, objects, observed items…
Fraud and pattern recognition
Monday, May 20th, 2013 at
00:00
More and more reports appear about fraud in science. Does the field of pattern recognition suffer from fraud as well? Or, does it profit from it? Googling “fraud” and “pattern recognition” almost entirely results in projects, meetings and studies on the use of pattern recognition for fraud detection.The main issue is not fraud in science…
Recognition, belief or knowledge
Tuesday, May 14th, 2013 at
00:00
Recognition systems have to be trained. An expert is necessary to act as a teacher. He has to know what is what. But … Does he really know, or does he just believe that he knows? Or, does he know that he just believes? And, does he know how good his belief is? Nils Nilsson,…
Pattern recognition and neural networks, Kuhn and Popper
Monday, May 6th, 2013 at
00:00
Is the neural network model good for pattern recognition? Or, is it too complex, too vague, too clumsy to be of any use in performing applications or in building understanding? The relation between the pattern recognition community and these questions have always been very sensitive. Its history is also interesting for observing how science may…
Peaking summarized
Monday, April 29th, 2013 at
00:00
Pattern recognition learns from examples. Thereby, generalization is needed. This can only be done if the objects, or at least the differences between pattern classes have a finite complexity. That is what peaking teaches us. We will go once more through the steps. (See also our previous discussions on peaking, dimensionality problems and Hughes’ phenomenon)….
Trunk’s example of the peaking phenomenon
Monday, April 15th, 2013 at
00:00
In 1979 G.V. Trunk published a very clear and simple example of the peaking phenomenon. It has been cited many times to explain the existence of peaking. Here, we will summarize and discuss it for those who want to have a better idea about the peaking problem. The paper presents an extreme example. Its value…
Pattern recognition at eastern
Sunday, April 7th, 2013 at
12:54
We were invited to watch the search for eastern eggs at the preschool of our grandson Pim. He is about two-and-a-halve, does not speak so much, but is mainly an observer. Internally he might even be a philosopher, who knows? We had to take the early train and rent some bicycles to arrive in time…
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