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» Using Gaussian Processes to Optimize Expensive Functions
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ISCIS
2003
Springer
14 years 25 days ago
Model-Based Human Motion Capture from Monocular Video Sequences
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
Jihun Park, Sangho Park, Jake K. Aggarwal
ECAI
2006
Springer
13 years 11 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
HPDC
2010
IEEE
13 years 8 months ago
Optimization of a parallel permutation testing function for the SPRINT R package
The statistical language R and Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by these analyses has reached...
Savvas Petrou, Terence M. Sloan, Muriel Mewissen, ...
ACCV
2006
Springer
14 years 1 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...
ICPR
2008
IEEE
14 years 2 months ago
Kernel functions for robust 3D surface registration with spectral embeddings
Registration of 3D surfaces is a critical step for shape analysis. Recent studies show that spectral representations based on intrinsic pairwise geodesic distances between points ...
Xiuwen Liu, Arturo Donate, Matthew Jemison, Washin...