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Reconceiving perceptual space.
VECTOR SPACE MODEL FOR DOCUMENT REPRESENTATION IN INFORMATION RETRIEVAL
information retrieval Boolean vector space model term weighted vector space model document representation
2010/1/11
this paper presents the basics of information retrieval: the vector space model for document representation with Boolean and term weighted models, ranking methods based on the cosine factor and evalua...
Cybernetic Space: Bringing the Virtual and Real Together
Cybernetic Space the Virtual and Real
2009/12/2
With the increasing prevalence of digital tools in our everyday lives, it is often the case that individuals and institutions are simultaneously living in the "real" and the "virtual." This duality of...
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
Contour-motion feature Space–time analysis Pedestrian detection Human activity analysis Event analysis 3D Haar fi lter
2013/7/16
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
Contour-motion feature A space–time approach robust pedestrian detection
2010/12/20
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Perceptual Scale-Space and Its Applications
Scale-space Image pyramid Primal sketch Graph grammar Generative modeling
2013/7/17
When an image is viewed at varying resolutions,it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a perceptual scale-space th...
Recovering 3D Facial Shape via Coupled 2D/3D Space Learning
Recovering 3D Facial Shape via Coupled 2D/3D Space Learning
2013/7/17
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes.With a coupled training set, the in...
FlexStem: improving predictions of RNA secondary structures with pseudoknots by reducing the search space
FlexStem: improving predictions RNA secondary structures pseudoknots reducing the search space
2013/7/17
RNA secondary structures with pseudoknots are often predicted by minimizing free energy, which is proved to be NP-hard.Due to kinetic reasons the real RNA secondary structure often has local instead o...