Sciweavers

169 search results - page 21 / 34
» Reductions among high dimensional proximity problems
Sort
View
ICML
2004
IEEE
14 years 8 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
WACV
2002
IEEE
14 years 14 days ago
Appearance-based Eye Gaze Estimation
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...
Kar-Han Tan, David J. Kriegman, Narendra Ahuja
ICA
2007
Springer
14 years 1 months ago
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Blind source extraction (BSE) is of advantages over blind source separation (BSS) when obtaining some underlying source signals from high dimensional observed signals. Among a vari...
Zhi-Lin Zhang, Liqing Zhang
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
14 years 1 months ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
CVPR
2007
IEEE
14 years 9 months ago
Approximate Nearest Subspace Search with Applications to Pattern Recognition
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor