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» Sparse Models for Gender Classification
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ECCV
2010
Springer
13 years 10 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
ICASSP
2010
IEEE
13 years 6 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ACL
2009
13 years 3 months ago
Modeling Latent Biographic Attributes in Conversational Genres
This paper presents and evaluates several original techniques for the latent classification of biographic attributes such as gender, age and native language, in diverse genres (co...
Nikesh Garera, David Yarowsky
COLING
2008
13 years 7 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
WWW
2007
ACM
14 years 6 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...