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ICPR
2002
IEEE
14 years 6 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
BMEI
2008
IEEE
13 years 7 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
GRAPHITE
2004
ACM
13 years 10 months ago
Statistical synthesis of facial expressions for the portrayal of emotion
This paper presents a novel technique for the generation of ‘video textures’ to display human emotion. This is achieved by a method which uses existing video footage to synthe...
Lisa Gralewski, Neill W. Campbell, Barry T. Thomas...
ICMLA
2007
13 years 6 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Finding Faces in Gray Scale Images Using Locally Linear Embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial exp...
Samuel Kadoury, Martin D. Levine