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72
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CVPR
2007
IEEE
16 years 2 months ago
A Face Annotation Framework with Partial Clustering and Interactive Labeling
Face annotation technology is important for a photo management system. In this paper, we propose a novel interactive face annotation framework combining unsupervised and interacti...
Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoo...
103
Voted
LICS
2003
IEEE
15 years 6 months ago
Labelled Markov Processes: Stronger and Faster Approximations
This paper reports on and discusses three notions of approximation for Labelled Markov Processes that have been developed last year. The three schemes are improvements over former...
Vincent Danos, Josee Desharnais
108
Voted
CONEXT
2010
ACM
14 years 10 months ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
CVIU
2010
267views more  CVIU 2010»
14 years 10 months ago
Accelerated hardware video object segmentation: From foreground detection to connected components labelling
This paper demonstrates the use of a single-chip FPGA for the segmentation of moving objects in a video sequence. The system maintains highly accurate background models, and integ...
Kofi Appiah, Andrew Hunter, Patrick Dickinson, Hon...
127
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CATA
2000
15 years 2 months ago
Fast connected component labeling algorithm using a divide and conquer technique
We investigate a method to speed up the O(n3 ) labeling algorithm of Rosenfeld and Pfaltz for segmenting binary images, which is unduly complex for large images. That algorithm sea...
June-Me Park, Carl G. Looney, Hui-Chuan Chen