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» New Algorithms for Statistical Analysis of Interval Data
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ICCV
2001
IEEE
16 years 7 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
155
Voted
SPIN
2000
Springer
15 years 9 months ago
Using Runtime Analysis to Guide Model Checking of Java Programs
This paper describes how two runtime analysis algorithms, an existing data race detection algorithm and a new deadlock detection algorithm, have been implemented to analyze Java pr...
Klaus Havelund
SIAMAM
2008
107views more  SIAMAM 2008»
15 years 4 months ago
Local Tomography in Electron Microscopy
We present a new local tomographic algorithm applicable to electron microscope tomography. Our algorithm applies to the standard data acquisition method, single-axis tilting, as we...
Eric Todd Quinto, Ozan Öktem
CGF
2010
121views more  CGF 2010»
15 years 5 months ago
GraphDice: A System for Exploring Multivariate Social Networks
Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these net...
Anastasia Bezerianos, Fanny Chevalier, Pierre Drag...
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 2 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar