Sciweavers

190 search results - page 15 / 38
» A New Constraint for Mining Sets in Sequences.
Sort
View
82
Voted
IDA
2005
Springer
15 years 3 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
CIKM
2008
Springer
14 years 11 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
14 years 10 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
89
Voted
NAR
2011
172views Computer Vision» more  NAR 2011»
14 years 9 days ago
NGSmethDB: a database for next-generation sequencing single-cytosine-resolution DNA methylation data
Next-generation sequencing (NGS) together with bisulphite conversion allows the generation of whole genome methylation maps at single-cytosine resolution. This allows studying the...
Michael Hackenberg, Guillermo Barturen, José...
ICIP
2001
IEEE
15 years 11 months ago
Hierarchical watermarking depending on local constraints
In this paper we propose a new watermarking technique where the watermark is embedded according to two keys. The first key is used to embed a code bit in a block of pixels. The se...
Christopher D. Coltman, Adrian G. Bors