Name
Title | ||
|---|---|---|
Efficient Human-Like Memory Management Based On Walsh-Based Associative Memory For Real-Time Pattern Recognition |
Abstract | ||
|---|---|---|
This paper proposes an efficient human-like memory and memory management which utilizes Walsh-based distributed associative memory in reducing the computer storage and processing for pattern recognition. As a verification example, a memory storing 26 binary alphabet images takes only the physical space needed to store 8 patterns and yet capable of perfect recognition. Further, the experimental results show that the proposed memory management strategy can nicely deal with data transfer from short-term (working) memory to long-term memory. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IJCNN.2006.247379 | 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 |
Keywords | Field | DocType |
memory management,real time,long term memory,associative memory,working memory,image recognition,pattern recognition,data transfer | Registered memory,Semiconductor memory,Interleaved memory,Extended memory,Shared memory,Pattern recognition,Computer science,Theoretical computer science,Memory management,Artificial intelligence,Memory map,Flat memory model | Conference |
ISSN | Citations | PageRank |
2161-4393 | 5 | 0.49 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyunchul Choi | 1 | 45 | 11.63 |
| Oh Se-young | 2 | 27 | 5.16 |