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ICML
2003
IEEE
16 years 7 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
16 years 6 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
EDBT
2009
ACM
104views Database» more  EDBT 2009»
16 years 1 months ago
A query processor for prediction-based monitoring of data streams
Networks of sensors are used in many different fields, from industrial applications to surveillance applications. A common feature of these applications is the necessity of a mo...
Sergio Ilarri, Ouri Wolfson, Eduardo Mena, Arantza...
ICASSP
2008
IEEE
16 years 29 days ago
Sparse and shift-invariant feature extraction from non-negative data
In this paper we describe a technique that allows the extraction of multiple local shift-invariant features from analysis of non-negative data of arbitrary dimensionality. Our app...
Paris Smaragdis, Bhiksha Raj, Madhusudana V. S. Sh...
WACV
2005
IEEE
16 years 3 days ago
Patchlets: Representing Stereo Vision Data with Surface Elements
This paper describes a class of augmented surface elements which we call patchlets. Patchlets are planar surface elements generated from dense stereo vision 3D range images. Patch...
Don Murray, James J. Little