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NIPS
1992
15 years 5 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
GRC
2008
IEEE
15 years 5 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
CANDC
2002
ACM
15 years 3 months ago
A Tool for the Interactive 3D Visualization of Electronic Structure in Molecules and Solids
This paper presents the Vienna ab initio simulation package (VASP) data viewer, a desktop 3D visualization application for the analysis of valence electronic structure information...
Timothy B. Terriberry, David F. Cox, Doug A. Bowma...
BMVC
2010
15 years 2 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
ICRA
2010
IEEE
188views Robotics» more  ICRA 2010»
15 years 1 months ago
Classification and prediction for accurate sensor-based assembly to moving objects
Abstract-- Typical industrial assembly tasks require an accuracy that cannot be realized by only feedback control if a minimum speed is given by a conveyor. Feed-forward has proven...
Friedrich Lange, Johannes Scharrer, Gerd Hirzinger