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» A Generative Model Based Approach to Motion Segmentation
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ICASSP
2011
IEEE
14 years 5 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
ICDE
2003
IEEE
247views Database» more  ICDE 2003»
16 years 2 months ago
CLUSEQ: Efficient and Effective Sequence Clustering
Analyzing sequence data has become increasingly important recently in the area of biological sequences, text documents, web access logs, etc. In this paper, we investigate the pro...
Jiong Yang, Wei Wang 0010
CVPR
2007
IEEE
16 years 3 months ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
NIPS
2008
15 years 3 months ago
Dynamic visual attention: searching for coding length increments
A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs. In this paper, a dynamic visual ...
Xiaodi Hou, Liqing Zhang
RAS
2007
151views more  RAS 2007»
15 years 1 months ago
Recursive scan-matching SLAM
This paper presents Scan-SLAM, a new generalisation of simultaneous localisation and mapping (SLAM). SLAM implementations based on extended Kalman filter (EKF) data fusion have t...
Juan Nieto, Tim Bailey, Eduardo Mario Nebot