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» Improved Sparse Bump Modeling for Electrophysiological Data
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ICML
2010
IEEE
13 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
AMFG
2007
IEEE
327views Biometrics» more  AMFG 2007»
14 years 1 months ago
Model-Assisted 3D Face Reconstruction from Video
Abstract. This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-vi...
Douglas Fidaleo, Gérard G. Medioni
ACL
2007
13 years 8 months ago
A fully Bayesian approach to unsupervised part-of-speech tagging
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
Sharon Goldwater, Tom Griffiths
IJCNLP
2005
Springer
14 years 27 days ago
A Lexicon-Constrained Character Model for Chinese Morphological Analysis
Abstract. This paper proposes a lexicon-constrained character model that combines both word and character features to solve complicated issues in Chinese morphological analysis. A ...
Yao Meng, Hao Yu, Fumihito Nishino