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ICML
2007
IEEE
16 years 7 months ago
Multiple instance learning for sparse positive bags
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
Razvan C. Bunescu, Raymond J. Mooney
ACCV
2007
Springer
16 years 18 days ago
Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds
Abstract. We propose a robust method to extract silhouettes of foreground objects from color video sequences. To cope with various changes in the background, the background is mode...
Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomo...
IWDW
2007
Springer
16 years 17 days ago
Multiple Domain Watermarking for Print-Scan and JPEG Resilient Data Hiding
In this paper, we propose a print-scan resilient watermarking method which takes advantage of multiple watermarking. The method presented here consists of three separate watermarks...
Anu Pramila, Anja Keskinarkaus, Tapio Seppäne...
ACCV
2006
Springer
16 years 12 days ago
Pseudo Measurement Based Multiple Model Approach for Robust Player Tracking
This paper presents a robust player tracking method for sports video analysis. In order to track agile player stably and robustly, we employ multiple models method, with a mean shi...
Xiaopin Zhong, Nanning Zheng, Jianru Xue
IBPRIA
2005
Springer
15 years 12 months ago
An Algorithm for the Detection of Multiple Concentric Circles
This paper presents a method for the detection of multiple concentric circles which is based on the Hough Transform (HT). In order to reduce time and memory space the concentric ci...
Margarida Silveira