Sciweavers

50 search results - page 3 / 10
» Learning Semi-Riemannian Metrics for Semisupervised Feature ...
Sort
View
MMM
2007
Springer
143views Multimedia» more  MMM 2007»
13 years 11 months ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...
ICAISC
2010
Springer
13 years 6 months ago
Canonical Correlation Analysis for Multiview Semisupervised Feature Extraction
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
Olcay Kursun, Ethem Alpaydin
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
13 years 3 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
EMNLP
2009
13 years 2 months ago
Semi-supervised Speech Act Recognition in Emails and Forums
In this paper, we present a semi-supervised method for automatic speech act recognition in email and forums. The major challenge of this task is due to lack of labeled data in the...
Minwoo Jeong, Chin-Yew Lin, Gary Geunbae Lee
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
13 years 11 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