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ICONIP
2007
15 years 7 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
ISCAS
2002
IEEE
109views Hardware» more  ISCAS 2002»
15 years 11 months ago
State space blind source recovery for mixtures of multiple source distributions
The paper discusses State Space Blind Source Recovery (BSR) for minimum phase and non-minimum phase mixtures of gaussian and non-gaussian distributions. The State Space Natural Gr...
Khurram Waheed, Fathi M. Salam
CVPR
2009
IEEE
1599views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Multi-Label Sparse Coding for Automatic Image Annotation
In this paper, we present a multi-label sparse coding framework for feature extraction and classification within the context of automatic image annotation. First, each image is ...
Changhu Wang (University of Science and Technology...
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
ICIP
2004
IEEE
16 years 8 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio