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» Classes and clusters in data analysis
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HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
15 years 9 months ago
Adoption of Collaboration Information Technologies in Australian and US Organizations: A Comparative Study
Collaboration to accomplish tasks has taken on a new meaning over the past few years. The majority of organizations are viewing information technology (IT) as a key enabler to tra...
Deepinder S. Bajwa, L. Floyd Lewis, Graham Pervan
ICASSP
2010
IEEE
15 years 4 months ago
Model-level data-driven sub-units for signs in videos of continuous Sign Language
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
Stavros Theodorakis, Vassilis Pitsikalis, Petros M...
EDBT
2010
ACM
170views Database» more  EDBT 2010»
15 years 7 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
ICIP
2001
IEEE
16 years 6 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
ISBI
2008
IEEE
15 years 11 months ago
On the non-uniform complexity of brain connectivity
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
Gloria Haro, Christophe Lenglet, Guillermo Sapiro,...