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PR
2006
80views more  PR 2006»
15 years 6 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
TNN
1998
254views more  TNN 1998»
15 years 6 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
ICPR
2004
IEEE
16 years 7 months ago
Two-Stage Classification System combining Model-Based and Discriminative Approaches
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
MHCI
2009
Springer
16 years 1 months ago
Detecting physical shock by a mobile phone and its applications in security and emergency
In this paper, we propose a method for detecting physical shock by a mobile phone and its applications in security and emergency scenarios. We use acceleration signal provided by ...
Hamed Ketabdar
ACCV
2007
Springer
16 years 21 days ago
Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions
We propose a method for interpolation between eigenspaces. Techniques that represent observed patterns as multivariate normal distribution have actively been developed to make it r...
Tomokazu Takahashi, Lina, Ichiro Ide, Yoshito Meka...