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68
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ECML
2005
Springer
15 years 3 months ago
On Discriminative Joint Density Modeling
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
75
Voted
NIPS
1996
14 years 11 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
COLING
2002
14 years 10 months ago
Extracting Word Sequence Correspondences with Support Vector Machines
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
Kengo Sato, Hiroaki Saito
AAAI
1994
14 years 11 months ago
The Ups and Downs of Lexical Acquisition
We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
Peter M. Hastings, Steven L. Lytinen
82
Voted
ICB
2009
Springer
148views Biometrics» more  ICB 2009»
14 years 8 months ago
Fuzzy 3D Face Ethnicity Categorization
In this paper, we propose a novel fuzzy 3D face ethnicity categorization algorithm, which contains two stages, learning and mapping. In learning stage, the visual codes are first l...
Cheng Zhong, Zhenan Sun, Tieniu Tan