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PAMI
2012
13 years 6 days ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 1 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
PAMI
2006
99views more  PAMI 2006»
14 years 9 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
ICC
2007
IEEE
111views Communications» more  ICC 2007»
15 years 4 months ago
Exact Multiple Access Analysis for Pulsed DS-UWB Systems with Episodic Transmission in Flat Nakagami Fading
— Exact bit error probabilities (BEP) are derived in closed form for pulsed binary direct sequence ultra-wideband (DS-UWB) multiple access systems in flat Nakagami fading channe...
Mohammad Azizur Rahman, Shigenobu Sasaki, Hisakazu...
CSDA
2006
84views more  CSDA 2006»
14 years 9 months ago
Performing hypothesis tests on the shape of functional data
We explore different approaches for performing hypothesis tests on the shape of a mean function by developing general methodologies both, for the often assumed, i.i.d. error struc...
Gareth M. James, Ashish Sood