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» Approximation Algorithms for Data Placement Problems
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RECOMB
2003
Springer
14 years 8 months ago
Finding recurrent sources in sequences
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Aristides Gionis, Heikki Mannila
MICAI
2005
Springer
14 years 1 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
UAI
2004
13 years 9 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
ADHOC
2010
163views more  ADHOC 2010»
13 years 8 months ago
A probabilistic method for cooperative hierarchical aggregation of data in VANETs
We propose an algorithm for the hierarchical aggregation of observations in dissemination-based, distributed traffic information systems. Instead of transmitting observed paramete...
Christian Lochert, Björn Scheuermann, Martin ...
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 5 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang