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CVPR
2011
IEEE
14 years 12 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
ACCV
2010
Springer
14 years 11 months ago
A Direct Method for Estimating Planar Projective Transform
Estimating planar projective transform (homography) from a pair of images is a classical problem in computer vision. In this paper, we propose a novel algorithm for direct register...
Yu-Tseh Chi, Jeffrey Ho, Ming-Hsuan Yang
TDSC
2011
14 years 10 months ago
An Obfuscation-Based Approach for Protecting Location Privacy
—The pervasive diffusion of mobile communication devices and the technical improvements of location techniques are fostering the development of new applications that use the phys...
Claudio Agostino Ardagna, Marco Cremonini, Sabrina...
EJASP
2010
132views more  EJASP 2010»
14 years 10 months ago
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
Jia Meng, Jianqiu Zhang, Yuan (Alan) Qi, Yidong Ch...
JCST
2010
189views more  JCST 2010»
14 years 10 months ago
Formally Analyzing Expected Time Complexity of Algorithms Using Theorem Proving
Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
Osman Hasan, Sofiène Tahar