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» New interval methods for constrained global optimization
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ISNN
2011
Springer
14 years 2 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
ECCV
2006
Springer
16 years 1 months ago
Self-calibration of a General Radially Symmetric Distortion Model
Abstract. We present a new approach for self-calibrating the distortion function and the distortion center of cameras with general radially symmetric distortion. In contrast to mos...
Jean-Philippe Tardif, Peter F. Sturm, Sébas...
ICCAD
2006
IEEE
190views Hardware» more  ICCAD 2006»
15 years 8 months ago
Factor cuts
Enumeration of bounded size cuts is an important step in several logic synthesis algorithms such as technology mapping and re-writing. The standard algorithm does not scale beyond...
Satrajit Chatterjee, Alan Mishchenko, Robert K. Br...
CIKM
2007
Springer
15 years 5 months ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
CVPR
2008
IEEE
16 years 1 months ago
Graph cut with ordering constraints on labels and its applications
In the last decade, graph-cut optimization has been popular for a variety of pixel labeling problems. Typically graph-cut methods are used to incorporate a smoothness prior on a l...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu