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117
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ICMLC
2005
Springer
15 years 6 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
NLPRS
2001
Springer
15 years 5 months ago
A Maximum Entropy Tagger with Unsupervised Hidden Markov Models
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
Jun'ichi Kazama, Yusuke Miyao, Jun-ichi Tsujii
ICIP
2000
IEEE
15 years 5 months ago
Wavelet-Based Image Denoising Using Hidden Markov Models
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...
Guoliang Fan, Xiang-Gen Xia
110
Voted
NIPS
2008
15 years 2 months ago
Sparse Signal Recovery Using Markov Random Fields
Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
117
Voted
RIAO
2007
15 years 2 months ago
Using Markov Chains to Exploit Word Relationships in Information Retrieval
Document expansion and query expansion aim to add related terms into document and query representations in order to make them more complete. However, most previous studies are lim...
Guihong Cao, Jian-Yun Nie, Jing Bai