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PVLDB
2008
107views more  PVLDB 2008»
13 years 9 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
ICPADS
2005
IEEE
14 years 3 months ago
Exploiting Multi-level Parallelism for Homology Search using General Purpose Processors
New biological experimental techniques are continuing to generate large amounts of data using DNA, RNA, human genome and protein sequences. The quantity and quality of data from t...
Xiandong Meng, Vipin Chaudhary
MM
2004
ACM
145views Multimedia» more  MM 2004»
14 years 3 months ago
Segmentation and recognition of multi-attribute motion sequences
In this work, we focus on fast and efficient recognition of motions in multi-attribute continuous motion sequences. 3D motion capture data, animation motion data, and sensor data ...
Chuanjun Li, Peng Zhai, Si-Qing Zheng, Balakrishna...
TPDS
1998
112views more  TPDS 1998»
13 years 9 months ago
Parallel Computation in Biological Sequence Analysis
—A massive volume of biological sequence data is available in over 36 different databases worldwide, including the sequence data generated by the Human Genome project. These data...
Tieng K. Yap, Ophir Frieder, Robert L. Martino
SDM
2003
SIAM
156views Data Mining» more  SDM 2003»
13 years 11 months ago
Detection of Underrepresented Biological Sequences using Class-Conditional Distribution Models
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
Slobodan Vucetic, Dragoljub Pokrajac, Hongbo Xie, ...