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ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
CIKM
1998
Springer
14 years 2 days ago
1998
Springer
In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex has...
TIP
2010
13 years 2 months ago
2010
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
TVCG
2010
13 years 2 months ago
2010
Abstract--One important bottleneck when visualizing large data sets is the data transfer between processor and memory. Cacheaware (CA) and cache-oblivious (CO) algorithms take into...
IRI
2006
IEEE
14 years 1 months ago
2006
IEEE
— Maximal full rectangles in tabular data are useful in several areas of data engineering. This paper presents a survey of results in which we replace “full rectangles” by ...