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» Approximation Algorithms for Data Placement Problems
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ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
14 years 2 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ICDM
2010
IEEE
164views Data Mining» more  ICDM 2010»
13 years 6 months ago
On Finding Similar Items in a Stream of Transactions
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
Andrea Campagna, Rasmus Pagh
MOBIHOC
2005
ACM
14 years 7 months ago
Localization and routing in sensor networks by local angle information
Location information is very useful in the design of sensor network infrastructures. In this paper, we study the anchor-free 2D localization problem by using local angle measureme...
Jehoshua Bruck, Jie Gao, Anxiao Jiang
BIRD
2008
Springer
162views Bioinformatics» more  BIRD 2008»
13 years 10 months ago
Suffix Tree Characterization of Maximal Motifs in Biological Sequences
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
Maria Federico, Nadia Pisanti
EMNLP
2008
13 years 9 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney