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143
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SAC
2010
ACM
15 years 1 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava
156
Voted
CVPR
2009
IEEE
16 years 10 months ago
Nonrigid Registration Combining Global and Local Statistics
In this paper we exploit normalized mutual information for the nonrigid registration of multimodal images. Rather than assuming that image statistics are spatially stationary, a...
Zhao Yi (UCLA), Stefano Soatto (UCLA)
105
Voted
SIBGRAPI
2006
IEEE
15 years 9 months ago
A Statistical Discriminant Model for Face Interpretation and Reconstruction
Multivariate statistical approaches have played an important role of recognising face images and characterizing their differences. In this paper, we introduce the idea of using a ...
Edson C. Kitani, Carlos E. Thomaz, Duncan Fyfe Gil...
ACCV
2006
Springer
15 years 9 months ago
Statistical Shape Models Using Elastic-String Representations
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
ASPDAC
2006
ACM
230views Hardware» more  ASPDAC 2006»
15 years 9 months ago
Statistical Bellman-Ford algorithm with an application to retiming
— Process variations in digital circuits make sequential circuit timing validation an extremely challenging task. In this paper, a Statistical Bellman-Ford (SBF) algorithm is pro...
Mongkol Ekpanyapong, Thaisiri Watewai, Sung Kyu Li...