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» Recognition Model with Extension Fields
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ICML
2007
IEEE
15 years 12 months ago
Comparisons of sequence labeling algorithms and extensions
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
Nam Nguyen, Yunsong Guo
ICASSP
2011
IEEE
14 years 2 months ago
Powerful extensions to CRFS for grapheme to phoneme conversion
Conditional Random Fields (CRFs) have proven to perform well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversio...
Stefan Hahn, Patrick Lehnen, Hermann Ney
ICANN
2003
Springer
15 years 4 months ago
Application of Vision Models to Traffic Sign Recognition
A system for traffic sign recognition has been developed. Both colour and shape information from signs are utilised for extraction of features. Colour appearance model CIECAM97 has...
X. W. Gao, L. Podladchikova, D. Shaposhnikov
ICCAD
2003
IEEE
204views Hardware» more  ICCAD 2003»
15 years 8 months ago
Modeling of Ballistic Carbon Nanotube Field Effect Transistors for Efficient Circuit Simulation
Carbon Nanotube Field-Effect Transistors (CNFETs) are being extensively studied as possible successors to CMOS. Novel device structures have been fabricated and device simulators ...
Arijit Raychowdhury, Saibal Mukhopadhyay, Kaushik ...
PAMI
2011
14 years 1 months ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori