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ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ICASSP
2008
IEEE
16 years 21 days ago
Stream weight tuning in dynamic Bayesian networks
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...
Arthur Kantor, A. Hasegawa-Johnson
ASPDAC
2004
ACM
123views Hardware» more  ASPDAC 2004»
15 years 11 months ago
Dynamic voltage scaling of periodic and aperiodic tasks in priority-driven systems
Abstract— We describe dynamic voltage scaling (DVS) algorithms for real-time systems with both periodic and aperiodic tasks. Although many DVS algorithms have been developed for ...
Dongkun Shin, Jihong Kim
CVPR
2004
IEEE
16 years 8 months ago
Dynamic Geodesic Snakes for Visual Tracking
Visual tracking using active contours is usually accomplished in a static framework. The active contour tracks the object of interest in a given frame of an image sequence, and th...
Marc Niethammer, Allen Tannenbaum
ICFP
2006
ACM
16 years 6 months ago
The missing link: dynamic components for ML
Despite its powerful module system, ML has not yet evolved for the modern world of dynamic and open modular programming, to which more primitive languages have adapted better so f...
Andreas Rossberg