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CGF
2010
171views more  CGF 2010»
13 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
EMNLP
2008
13 years 11 months ago
An Analysis of Active Learning Strategies for Sequence Labeling Tasks
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Burr Settles, Mark Craven
ICIP
2008
IEEE
14 years 11 months ago
A ground truth for motion-based video-object segmentation
This paper describes the design procedure followed to generate a ground truth for the evaluation of motion-based algorithms for video-object segmentation. A thorough review and cl...
Fabricio Tiburzi, Jesús Bescós, Jos&...
CAIP
2007
Springer
217views Image Analysis» more  CAIP 2007»
14 years 4 months ago
Mixture Models Based Background Subtraction for Video Surveillance Applications
— Background subtraction is a method commonly used to segment objects of interest in image sequences. By comparing new frames to a background model, regions of interest can be fo...
Chris Poppe, Gaëtan Martens, Peter Lambert, R...
ECCV
2004
Springer
14 years 3 months ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan