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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 7 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
ISMB
1996
15 years 7 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
ICASSP
2008
IEEE
16 years 1 months ago
Iterative R-D optimization of H.264
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. T...
Cheolhong An, Truong Q. Nguyen
IJPRAI
2006
114views more  IJPRAI 2006»
15 years 6 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
TIP
2008
109views more  TIP 2008»
15 years 6 months ago
Iterative Rate-Distortion Optimization of H.264 With Constant Bit Rate Constraint
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. Th...
Cheolhong An, Truong Q. Nguyen