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» Learning Generic Prior Models for Visual Computation
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MHCI
2009
Springer
15 years 4 months ago
Information empowerment through mobile learning
Information empowers those who make sense from its successful interpretation; this is especially true on the subject of weather where the recipient is required to have prior forms...
Raymond Koon Chuan Koh, Henry Xin Liong Tan, Henry...
ICMLC
2010
Springer
14 years 7 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
ICCV
2001
IEEE
15 years 11 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
WAPCV
2007
Springer
15 years 3 months ago
A Proto-object Based Visual Attention Model
One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze towa...
Francesco Orabona, Giorgio Metta, Giulio Sandini
ECCV
2002
Springer
15 years 11 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...