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» A New Algorithm for Mining Sequential Patterns
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SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 9 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 8 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
IJIT
2004
13 years 9 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
ICCD
2006
IEEE
127views Hardware» more  ICCD 2006»
14 years 4 months ago
Power Droop Testing
Circuit activity is a function of input patterns. When circuit activity changes abruptly, it can cause sudden drop or rise in power supply voltage. This change is known as power d...
Ilia Polian, Alejandro Czutro, Sandip Kundu, Bernd...
ECCV
2008
Springer
14 years 9 months ago
Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation
We introduce a novel framework for automatic detection of repeated patterns in real images. The novelty of our work is to formulate the extraction of an underlying deformed lattice...
Minwoo Park, Robert T. Collins, Yanxi Liu