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ECCV
2006
Springer
14 years 10 months ago
Learning Nonlinear Manifolds from Time Series
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Naren...
CVPR
2003
IEEE
14 years 10 months ago
Surfaces with Occlusions from Layered Stereo
Although steady progress has been made in recent stereo algorithms, producing accurate results in the neighborhood of depth discontinuities remains a challenge. Moreover, among th...
Michael H. Lin, Carlo Tomasi
CVPR
2008
IEEE
14 years 10 months ago
Integrated feature selection and higher-order spatial feature extraction for object categorization
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
DAC
2006
ACM
14 years 9 months ago
Design tools for reliability analysis
Recent progress in EDA tools allows IC designs to be accurately verified with consequent improvements in yield and performance through reduced guard bands. This paper will present...
Zhihong Liu, Bruce McGaughy, James Z. Ma
ICML
2004
IEEE
14 years 9 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...