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NPL
2000
91views more  NPL 2000»
13 years 9 months ago
A Novel Self-Creating Neural Network for Learning Vector Quantization
This paper presents a novel self-creating neural network scheme which employs two resource counters to record network learning activity. The proposed scheme not only achieves the b...
Jung-Hua Wang, Chung-Yun Peng
HYBRID
1998
Springer
14 years 2 months ago
Large Patterns Make Great Symbols: An Example of Learning from Example
We look at distributed representation of structure with variable binding, that is natural for neural nets and allows traditional symbolic representation and processing. The repres...
Pentti Kanerva
ICMCS
2006
IEEE
159views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Image Vector Quantization Indices Recovery using Lagrange Interpolation
Vector quantization (VQ) is an efficient coding algorithm due to its fast decoding efficiency. Indices of VQ will be lost during the transmission because of the signal interferenc...
Yung-Gi Wu, Chia-Hao Wu
ICIP
1998
IEEE
14 years 11 months ago
Reversing Motion Vector Fields
With the popular use of digital video (VCD, DVD, video conferencing, digital broadcasting system, digital TV and video editing), video streaming technology becomes much more impor...
Susie J. Wee
GIS
2006
ACM
14 years 11 months ago
Object localization based on directional information case of 2D vector data
If you were told that some object A was perfectly (or somewhat, or not at all) in some direction (e.g., west, above-right) of some reference object B, where in space would you loo...
Stelian Coros, JingBo Ni, Pascal Matsakis