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» Sequential predictions based on algorithmic complexity
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 7 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
115
Voted
NIPS
2004
15 years 3 months ago
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale
Protein interactions typically arise from a physical interaction of one or more small sites on the surface of the two proteins. Identifying these sites is very important for drug ...
Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koll...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 7 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
145
Voted
ICIP
2001
IEEE
16 years 4 months ago
Prescient mode selection for robust video coding
In standard predictive video coders, intra-mode coding of macroblocks (MBs) provides packet loss resilience, at the cost of reduced compression efficiency. Conventional mode selec...
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
ICMCS
2006
IEEE
157views Multimedia» more  ICMCS 2006»
15 years 8 months ago
RD-Optimization for MPEG-2 to H.264 Transcoding
1 In this paper, we introduce and evaluate a low complexity macroblock partition mode decision algorithm for interframe prediction in MPEG-2 to H.264 transcoder. The proposed tools...
Gerardo Fernández-Escribano, Hari Kalva, Pe...