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» Learning with Weighted Transducers
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ICIP
2003
IEEE
14 years 10 months ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua
PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
14 years 18 days ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
ACL
2010
13 years 7 months ago
Transition-Based Parsing with Confidence-Weighted Classification
We show that using confidence-weighted classification in transition-based parsing gives results comparable to using SVMs with faster training and parsing time. We also compare wit...
Martin Haulrich
ICPR
2008
IEEE
14 years 3 months ago
Optimal feature weighting for the discrete HMM
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Oualid Missaoui, Hichem Frigui
NLPRS
2001
Springer
14 years 1 months ago
Vietnamese Word Segmentation
Word segmentation is the first and obligatory task for every NLP. For inflectional languages like English, French, Dutch,.. their word boundaries are simply assumed to be whitespa...
Dinh Dien, Hoang Kiem, Nguyen Van Toan