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165
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NIPS
1992
15 years 4 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
CEC
2010
IEEE
15 years 4 months ago
Non-rigid 3D face shape reconstruction using a genetic algorithm
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
Jong-Min Park, Hyun-Chul Choi, Se-Young Oh
103
Voted
FSTTCS
2008
Springer
15 years 4 months ago
Solvency Games
Abstract. We study the decision theory of a maximally risk-averse investor — one whose objective, in the face of stochastic uncertainties, is to minimize the probability of ever ...
Noam Berger, Nevin Kapur, Leonard J. Schulman, Vij...
113
Voted
DBSEC
2010
128views Database» more  DBSEC 2010»
15 years 3 months ago
On the Identification of Property Based Generalizations in Microdata Anonymization
Abstract. Majority of the search algorithms in microdata anonymization restrict themselves to a single privacy property and a single criteria to optimize. The solutions obtained ar...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
125
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...