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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 5 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BMCBI
2008
102views more  BMCBI 2008»
13 years 5 months ago
Ornithine decarboxylase antizyme finder (OAF): Fast and reliable detection of antizymes with frameshifts in mRNAs
Background: Ornithine decarboxylase antizymes are proteins which negatively regulate cellular polyamine levels via their affects on polyamine synthesis and cellular uptake. In vir...
Michaël Bekaert, Ivaylo P. Ivanov, John F. At...
CVPR
2004
IEEE
14 years 6 months ago
An Algorithm for Multiple Object Trajectory Tracking
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
ISI
2008
Springer
13 years 4 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
ISMIR
2005
Springer
168views Music» more  ISMIR 2005»
13 years 10 months ago
A Novel HMM Approach to Melody Spotting in Raw Audio Recordings
This paper presents a melody spotting system based on Variable Duration Hidden Markov Models (VDHMM’s), capable of locating monophonic melodies in a database of raw audio record...
Aggelos Pikrakis, Sergios Theodoridis