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» Diffeomorphic Dimensionality Reduction
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IJCNN
2000
IEEE
15 years 4 months ago
Neural Networks for Novelty Detection in Airframe Strain Data
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stres...
Simon J. Hickinbotham, James Austin
SDM
2008
SIAM
176views Data Mining» more  SDM 2008»
15 years 1 months ago
A General Model for Multiple View Unsupervised Learning
Multiple view data, which have multiple representations from different feature spaces or graph spaces, arise in various data mining applications such as information retrieval, bio...
Bo Long, Philip S. Yu, Zhongfei (Mark) Zhang
NIPS
2007
15 years 1 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
PR
2007
145views more  PR 2007»
14 years 11 months ago
Face recognition using a kernel fractional-step discriminant analysis algorithm
Feature extraction is among the most important problems in face recognition systems. In this paper, we propose an enhanced kernel discriminant analysis (KDA) algorithm called kern...
Guang Dai, Dit-Yan Yeung, Yuntao Qian
103
Voted
ISVC
2010
Springer
14 years 10 months ago
Combining Automated and Interactive Visual Analysis of Biomechanical Motion Data
Abstract. We present a framework for combining automated and interactive visual analysis techniques for use on high-resolution biomechanical data. Analyzing the complex 3D motion o...
Scott Spurlock, Remco Chang, Xiaoyu Wang, George A...