Results 231 to 240 of about 1,879,088 (284)
Some of the next articles are maybe not open access.
Neural Networks, 2014
This work presents bipolar neural systems for check-rule embedded pattern restoration, fault-tolerant information encoding and Sudoku memory construction and association. The primitive bipolar neural unit is generalized to have internal fields and activations, which are respectively characterized by exponential growth and logistic differential dynamics,
Jiann-Ming Wu +2 more
openaire +4 more sources
This work presents bipolar neural systems for check-rule embedded pattern restoration, fault-tolerant information encoding and Sudoku memory construction and association. The primitive bipolar neural unit is generalized to have internal fields and activations, which are respectively characterized by exponential growth and logistic differential dynamics,
Jiann-Ming Wu +2 more
openaire +4 more sources
International Journal of Modern Physics B, 2003
The unique characteristic of quantum mechanics may be used in the near future to create a quantum associative memory with a capacity exponential in the number of neurons. In this paper we discuss some quantum computational ideas and algorithms necessary to develop a quantum associative memory.
Andrecut, M., Ali, M. K.
openaire +1 more source
The unique characteristic of quantum mechanics may be used in the near future to create a quantum associative memory with a capacity exponential in the number of neurons. In this paper we discuss some quantum computational ideas and algorithms necessary to develop a quantum associative memory.
Andrecut, M., Ali, M. K.
openaire +1 more source
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
We present a processor that, attached to a PC main board acts as an image associative memory. The main contribution is that the operation time required to recognize an object remains constant regardless of the number of stored models. The object silhouette is used as the key image feature allowing us to recognize 2D or 3D objects from a single ...
Javier Cortadellas, Josep Amat
openaire +2 more sources
We present a processor that, attached to a PC main board acts as an image associative memory. The main contribution is that the operation time required to recognize an object remains constant regardless of the number of stored models. The object silhouette is used as the key image feature allowing us to recognize 2D or 3D objects from a single ...
Javier Cortadellas, Josep Amat
openaire +2 more sources
Neural Computation, 2019
It is still unknown how associative biological memories operate. Hopfield networks are popular models of associative memory, but they suffer from spurious memories and low efficiency. Here, we present a new model of an associative memory that overcomes these deficiencies.
openaire +4 more sources
It is still unknown how associative biological memories operate. Hopfield networks are popular models of associative memory, but they suffer from spurious memories and low efficiency. Here, we present a new model of an associative memory that overcomes these deficiencies.
openaire +4 more sources
Operation of an associative memory
Pattern Recognition, 1994Abstract This paper describes the operation of an associative memory (LYAM) governed by only ordinary differential equations, useful for pattern clustering. Several computer simulations illustrate its operation as an unsupervised classifier, vector quantizer, and content-addressable memory.
Mohammad R. Sayeh +2 more
openaire +2 more sources
Design of an Associative Memory
IEEE Transactions on Computers, 1971An associative memory system using push-down or first-in first-out (FIFO) lists as its basic building elements is described. With the development of large-scale integration technology (LSI), it is expected that devices with regular repetitive structure and high gate/interconnection ratio can be manufactured at extremely low cost.
openaire +1 more source
A bidirectional associative memory based on optimal linear associative memory
IEEE Transactions on Computers, 1996Summary: A new bidirectional associative memory is presented. Unlike many existing BAM algorithms, the presented BAM uses an optimal associative memory matrix in place of the standard Hebbian or quasi-correlation matrix. The optimal associative memory matrix is determined by using only simple correlation learning, requiring no pseudoinverse calculation.
openaire +3 more sources
Taxonomical Associative Memory
Cognitive Computation, 2012Assigning categories to objects allows the mind to code experience by concepts, thus easing the burden in perceptual, storage, and reasoning processes. Moreover, maximal efficiency of cognitive resources is attained with categories that best mirror the structure of the perceived world.
Diogo Rendeiro +2 more
openaire +2 more sources
Morphological associative memories
IEEE Transactions on Neural Networks, 1998The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this theory, the first step in computing the next state of a neuron or in performing the next layer neural network computation involves the linear operation of multiplying neural values by their synaptic strengths and adding the ...
Gerhard X. Ritter +2 more
openaire +3 more sources
A cognitive and associative memory
Biological Cybernetics, 1987By introducing a physiological constraint in the auto-correlation matrix memory, the system is found to acquire an ability in cognition i.e. the ability to identify an input pattern by its proximity to any one of the stored memories. The physiological constraint here is that the attribute of a given synapse (i.e.
openaire +3 more sources