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TNN
2008
114views more  TNN 2008»
15 years 3 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
121
Voted
CORR
2011
Springer
165views Education» more  CORR 2011»
14 years 10 months ago
Extracting Features from Ratings: The Role of Factor Models
Abstract. Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items ...
Joachim Selke, Wolf-Tilo Balke
ICDCSW
2006
IEEE
15 years 9 months ago
Semantic Data Extraction for B2B Integration
Business-to-business (B2B) data exchange and integration is a common daily operation in today’s organizations. These operations are crucial since they affect organizations’ ca...
Bruno Silva, Jorge Cardoso
128
Voted
ESANN
2006
15 years 4 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
ICMLA
2007
15 years 4 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...