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PVLDB
2008
116views more  PVLDB 2008»
14 years 11 months ago
Tighter estimation using bottom k sketches
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
Edith Cohen, Haim Kaplan
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
15 years 11 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
CVPR
2009
IEEE
16 years 6 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
JAIR
1998
198views more  JAIR 1998»
14 years 11 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
EDBT
2008
ACM
122views Database» more  EDBT 2008»
15 years 11 months ago
Semantic peer, here are the neighbors you want!
Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing of semantically rich data. A PDMS consists of semantic peers connecte...
Wilma Penzo, Stefano Lodi, Federica Mandreoli, Ric...