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TSP
2008
167views more  TSP 2008»
15 years 5 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
225
Voted
SIGMOD
2010
ACM
145views Database» more  SIGMOD 2010»
15 years 5 months ago
How to ConQueR why-not questions
One useful feature that is missing from today’s database systems is an explain capability that enables users to seek clarifications on unexpected query results. There are two t...
Quoc Trung Tran, Chee-Yong Chan
219
Voted
CCGRID
2010
IEEE
15 years 4 months ago
Low-Cost Tuning of Two-Step Algorithms for Scheduling Mixed-Parallel Applications onto Homogeneous Clusters
Due to the strong increase of processing units available to the end user, expressing parallelism of an algorithm is a major challenge for many researchers. Parallel applications ar...
Sascha Hunold
CVPR
2011
IEEE
15 years 3 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
221
Voted
3DOR
2010
15 years 2 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
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