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CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 11 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
ICDAR
2007
IEEE
14 years 5 months ago
Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing
Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. ...
Teng Long, Lianwen Jin
ICCV
2005
IEEE
14 years 4 months ago
Non-Orthogonal Binary Subspace and Its Applications in Computer Vision
This paper presents a novel approach that represents an image or a set of images using a nonorthogonal binary subspace (NBS) spanned by boxlike base vectors. These base vectors po...
Hai Tao, Ryan Crabb, Feng Tang
ECCV
2010
Springer
14 years 4 months ago
Visibility Subspaces: Uncalibrated Photometric Stereo with Shadows
Photometric stereo relies on inverting the image formation process, and doing this accurately requires reasoning about the visibility of light sources with respect to each image po...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
15 years 7 days ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang