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NIPS
1992
13 years 11 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
EUSAI
2007
Springer
14 years 4 months ago
Portable Wireless Sensors for Object Usage Sensing in the Home: Challenges and Practicalities
A low-cost kit of stick-on wireless sensors that transmit data indicating whenever various objects are being touched or used might aid ubiquitous computing research efforts on rapi...
Emmanuel Munguia Tapia, Stephen S. Intille, Kent L...
IAJIT
2010
215views more  IAJIT 2010»
13 years 8 months ago
Voice Disorders Identification Using Multilayer Neural Network
: In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses th...
Lotfi Salhi, Talbi Mourad, Adnene Cherif
3DOR
2010
13 years 5 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
ICPR
2004
IEEE
14 years 11 months ago
Discriminative Distance Measures for Image Matching
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
Tat-Jen Cham, Xi Chen