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» Scalable, updatable predictive models for sequence data
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109
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ICCV
2007
IEEE
16 years 2 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
119
Voted
BMCBI
2006
147views more  BMCBI 2006»
15 years 16 days ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...
ICANN
2005
Springer
15 years 6 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
126
Voted
VLBV
2005
Springer
15 years 6 months ago
Coding with Temporal Layers or Multiple Descriptions for Lossy Video Transmission
In this paper, we compare temporal layered coding (TLC), as well as single-state coding (SSC), to multi-state video coding (MSVC) in the context of lossy video communications. MSV...
Sila Ekmekci Flierl, Thomas Sikora, Pascal Frossar...
BMCBI
2010
126views more  BMCBI 2010»
15 years 18 days ago
Antisense DNA parameters derived from next-nearest-neighbor analysis of experimental data
Background: The enumeration of tetrameric and other sequence motifs that are positively or negatively correlated with in vivo antisense DNA effects has been a useful addition to t...
Donald M. Gray, Carla W. Gray, Byong-Hoon Yoo, Tzu...