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ICASSP
2008
IEEE
15 years 4 months ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
CVIU
2007
120views more  CVIU 2007»
14 years 10 months ago
A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Evgeni Magid, Octavian Soldea, Ehud Rivlin
ICASSP
2011
IEEE
14 years 1 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...
IQ
2001
14 years 11 months ago
Data Quality Challenges in Enabling eBusiness Transformation
: This paper discusses data quality challenges in the context of eBusiness Transformation. It presents the major differences between traditional and eBusiness as they relate to bus...
Arie Segev
DIS
2009
Springer
15 years 4 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...