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» New Data Structures for Orthogonal Range Searching
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BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
Orthogonal projections to latent structures as a strategy for microarray data normalization
Background: During generation of microarray data, various forms of systematic biases are frequently introduced which limits accuracy and precision of the results. In order to prop...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...
ICALP
1999
Springer
13 years 11 months ago
Online Data Structures in External Memory
The data sets for many of today's computer applications are too large to t within the computer's internal memory and must instead be stored on external storage devices su...
Jeffrey Scott Vitter
STACS
2012
Springer
12 years 3 months ago
Linear-Space Data Structures for Range Mode Query in Arrays
A mode of a multiset S is an element a ∈ S of maximum multiplicity; that is, a occurs at least as frequently as any other element in S. Given an array A[1 : n] of n elements, we...
Timothy M. Chan, Stephane Durocher, Kasper Green L...
ISNN
2011
Springer
12 years 10 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
EDBT
2012
ACM
216views Database» more  EDBT 2012»
11 years 9 months ago
Effectively indexing the multi-dimensional uncertain objects for range searching
The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global po...
Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin