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» Models for Data-Flow Sequential Processes
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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 10 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
ACL
2008
13 years 11 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
SIGECOM
2011
ACM
216views ECommerce» more  SIGECOM 2011»
13 years 17 days ago
Strategic sequential voting in multi-issue domains and multiple-election paradoxes
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
Lirong Xia, Vincent Conitzer, Jérôme ...
CVPR
2012
IEEE
12 years 5 days ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
ICCAD
2000
IEEE
149views Hardware» more  ICCAD 2000»
14 years 2 months ago
Dynamic Response Time Optimization for SDF Graphs
Synchronous Data Flow (SDF) is a well-known model of computation that is widely used in the control engineering and digital signal processing domains. Existing scheduling methods ...
Dirk Ziegenbein, Jan Uerpmann, Ralph Ernst