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CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 7 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 6 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
CIMAGING
2009
130views Hardware» more  CIMAGING 2009»
13 years 6 months ago
Quantitative phase and amplitude imaging using Differential-Interference Contrast (DIC) microscopy
We present an extension of the development of an alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitude and phase...
Chrysanthe Preza, Joseph A. O'Sullivan
ICCV
2009
IEEE
13 years 6 months ago
Attached shadow coding: Estimating surface normals from shadows under unknown reflectance and lighting conditions
We present a novel technique, termed attached shadow coding, for estimating surface normals from shadows when the reflectance and lighting conditions are unknown. Our key idea is ...
Takahiro Okabe, Imari Sato, Yoichi Sato
CIDU
2010
13 years 6 months ago
Optimal Partitions of Data In Higher Dimensions
Given any collection of data cells in a data space X, consider the problem of finding the optimal partition of the data cells into blocks which are unions of cells. The algorithms...
Bradley W. Jackson, Jeffrey D. Scargle, Chris Cusa...