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CVPR
2009
IEEE
17 years 1 months ago
Shape Discovery from Unlabeled Image Collections
Can we discover common object shapes within unlabeled multi-category collections of images? While often a critical cue at the category-level, contour matches can be difficult to...
Yong Jae Lee (University of Texas at Austin), Kris...
155
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CVPR
2006
IEEE
16 years 8 months ago
The Function Space of an Activity
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
Ashok Veeraraghavan, Amit K. Roy Chowdhury
OSDI
2008
ACM
16 years 7 months ago
Predicting Computer System Failures Using Support Vector Machines
Mitigating the impact of computer failure is possible if accurate failure predictions are provided. Resources, applications, and services can be scheduled around predicted failure...
Errin W. Fulp, Glenn A. Fink, Jereme N. Haack
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
16 years 4 months ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
16 years 4 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...