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MLDM
2005
Springer
14 years 1 months ago
Linear Manifold Clustering
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
Robert M. Haralick, Rave Harpaz
CVPR
2004
IEEE
14 years 9 months ago
Visual Tracking Using Learned Linear Subspaces
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...
Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David...
ARITH
2005
IEEE
14 years 1 months ago
A Linear-System Operator Based Scheme for Evaluation of Multinomials
We present a radix-2 online computational scheme for evaluating multinomials in a fixed-point number representation system. Its main advantage is that it can adapt to any evaluat...
Pavan Adharapurapu, Milos D. Ercegovac
ARITH
2005
IEEE
14 years 1 months ago
Fast Modular Reduction for Large Wordlengths via One Linear and One Cyclic Convolution
Abstract— Modular reduction is a fundamental operation in cryptographic systems. Most well known modular reduction methods including Barrett’s and Montgomery’s algorithms lev...
Dhananjay S. Phatak, Tom Goff
ICCV
2011
IEEE
12 years 7 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang