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ECCV
2004
Springer
16 years 3 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
15 years 10 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
CIKM
1998
Springer
15 years 5 months ago
Supporting Fast Search in Time Series for Movement Patterns in Multiple Scales
An important investigation of time series involves searching for \movement" patterns, such as \going up" or \going down" or some combinations of them. Movement patt...
Yunyao Qu, Changzhou Wang, Xiaoyang Sean Wang
BMCBI
2006
202views more  BMCBI 2006»
15 years 1 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 7 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley