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ICIP
2010
IEEE
14 years 7 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
APVIS
2011
13 years 9 months ago
Exploring geo-temporal differences using GTdiff
Many data sets exist that contain both geospatial and temporal elements. Within such data sets, it can be difficult to determine how the data have changed over spatial and tempor...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
ICPP
1997
IEEE
15 years 2 months ago
Communication in Parallel Applications: Characterization and Sensitivity Analysis
Communication characterization of parallel applications is essential to understand the interplay between architectures and applications in determining the maximum achievable perfo...
Dale Seed, Anand Sivasubramaniam, Chita R. Das
CVPR
2005
IEEE
15 years 11 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
CIVR
2007
Springer
154views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Representing shape with a spatial pyramid kernel
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz