Name
Abstract | ||
|---|---|---|
In this research paper, a novel Convolutional Associative Memory is proposed. In the proposed model, Synapse of each neuron is modeled as a Linear FIR filter. The dynamics of Convolutional Associative Memory is discussed. A new method called Sub-sampling is given. Proof of convergence theorem is discussed. An example depicting the convergence is shown. Some potential applications of the proposed model are also proposed. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-26555-1_40 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Convolutional Associative Memory,FIR filter,Sub-sampling matrix,Hankel matrix | Convergence (routing),Synapse,Content-addressable memory,Computer science,Artificial intelligence,Finite impulse response,Hankel matrix | Conference |
Volume | ISSN | Citations |
9491 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rama Murthy Garimella | 1 | 13 | 4.59 |
| Sai Dileep Munugoti | 2 | 2 | 0.40 |
| Anil Rayala | 3 | 2 | 0.40 |