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APIN
2004
116views more  APIN 2004»
13 years 7 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
AROBOTS
2002
131views more  AROBOTS 2002»
13 years 7 months ago
Automated Derivation of Primitives for Movement Classification
Abstract. We describe a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of ...
Ajo Fod, Maja J. Mataric, Odest Chadwicke Jenkins
SOFTWARE
1998
13 years 7 months ago
Interrupts: Just a Minute Never Is
development is a highly abstract process that requires intense concentration. The authors show that interrupting this process can significantly reduce a developer’s efficiency an...
Rini van Solingen, Egon Berghout, Frank van Latum
MICCAI
2010
Springer
13 years 6 months ago
Complete Valvular Heart Apparatus Model from 4D Cardiac CT
Abstract. The cardiac valvular apparatus, composed of the aortic, mitral, pulmonary and tricuspid valve, is an essential part of the anatomical, functional and hemodynamic characte...
Sasa Grbic, Razvan Ioan Ionasec, Dime Vitanovski, ...
SIAMSC
2010
120views more  SIAMSC 2010»
13 years 6 months ago
Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector
Abstract. A problem that arises in slice-selective magnetic resonance imaging (MRI) radiofrequency (RF) excitation pulse design is abstracted as a novel linear inverse problem with...
Adam C. Zelinski, Vivek K. Goyal, Elfar Adalsteins...