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PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 3 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
MM
2009
ACM
269views Multimedia» more  MM 2009»
14 years 3 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
MM
2009
ACM
125views Multimedia» more  MM 2009»
14 years 3 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
BIBE
2008
IEEE
126views Bioinformatics» more  BIBE 2008»
14 years 3 months ago
Polyadenylation site prediction using interesting emerging patterns
—This paper presents a study on polyadenylation site prediction in mRNA sequences. We describe a method, called PolyA-EP, that we developed for predicting polyadenylation sites a...
George Tzanis, I. Kavakiotis, Ioannis P. Vlahavas
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
14 years 3 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li