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BMCBI
2005
108views more  BMCBI 2005»
15 years 1 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
ECCV
2010
Springer
15 years 7 months ago
Energy Minimization Under Constraints on Label Counts
Abstract. Many computer vision problems such as object segmentation or reconstruction can be formulated in terms of labeling a set of pixels or voxels. In certain scenarios, we may...
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KI
2007
Springer
15 years 1 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
ICPR
2006
IEEE
16 years 2 months ago
A Non-Iterative Approach to Reconstruct Face Templates from Match Scores
Regeneration of biometric templates from match scores has security and privacy implications related to any biometric based authentication system. In this paper, we propose a novel...
Pranab Mohanty, Rangachar Kasturi, Sudeep Sarkar
SOFSEM
2010
Springer
15 years 10 months ago
Parallel Randomized Load Balancing: A Lower Bound for a More General Model
We extend the lower bound of Adler et. al [1] and Berenbrink [3] for parallel randomized load balancing algorithms. The setting in these asynchronous and distributed algorithms is...
Guy Even, Moti Medina