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» Optimized fixed-size kernel models for large data sets
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SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
13 years 9 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
IJCAI
2003
13 years 9 months ago
Semi-Supervised Learning with Explicit Misclassification Modeling
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
Massih-Reza Amini, Patrick Gallinari
ICDE
1998
IEEE
153views Database» more  ICDE 1998»
14 years 9 months ago
Flattening an Object Algebra to Provide Performance
Algebraic transformation and optimization techniques have been the method of choice in relational query execution, but applying them in OODBMS is difficult due to the complexity o...
Peter A. Boncz, Annita N. Wilschut, Martin L. Kers...
BMCBI
2010
144views more  BMCBI 2010»
13 years 3 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
ECCV
2010
Springer
14 years 12 days ago
Detection and Tracking of Large Number of Targets in Wide Area Surveillance
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...