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» An Auxiliary Variational Method
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ISQED
2007
IEEE
120views Hardware» more  ISQED 2007»
16 years 1 months ago
Planar-CRX: A Single-Layer Zero Skew Clock Routing in X-Architecture
With its advantages in wirelength reduction and routing flexibility compared with Manhattan routing, X-architecture has been proposed and applied to modern IC design. As a critic...
Weixiang Shen, Yici Cai, Xianlong Hong, Jiang Hu, ...
ACCV
2007
Springer
16 years 1 months ago
Analyzing Facial Expression by Fusing Manifolds
Feature representation and classification are two major issues in facial expression analysis. In the past, most methods used either holistic or local representation for analysis. ...
Wen-Yan Chang, Chu-Song Chen, Yi-Ping Hung
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
16 years 1 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
DAGM
2007
Springer
16 years 1 months ago
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields
Magnetic resonance spectral images provide information on metabolic processes and can thus be used for in vivo tumor diagnosis. However, each single spectrum has to be checked manu...
L. Görlitz, Bjoern H. Menze, M.-A. Weber, B. ...
ECML
2007
Springer
16 years 1 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen