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TKDE
2008
152views more  TKDE 2008»
13 years 7 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
CVPR
2010
IEEE
14 years 4 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
IMR
2004
Springer
14 years 1 months ago
Identification and Preservation of Surface Features
A surface is often approximated by a network of triangular facets. In the absence of a precise mathematical description of the underlying surface all information about surface pro...
Timothy J. Baker
ICIP
2001
IEEE
14 years 9 months ago
Facial parameter extraction system based on active contours
This paper addresses the application of active contours or snakes for location and tracking of facial features. Conventional snake approaches find the position of the snake by fin...
Montse Pardàs, Marcos Losada