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» A Probabilistic Segmentation Scheme
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ICCV
2003
IEEE
16 years 7 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
NIPS
2007
15 years 6 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
134
Voted
ICDAR
1999
IEEE
15 years 9 months ago
Region Description and Comparative Analysis using a Tesseral Representation
This paper presents a region-representation scheme and comparative analysis methods based on a tesseral addressing system. The proposed scheme is described in the context of perfo...
Apostolos Antonacopoulos, Frans Coenen
CVPR
2008
IEEE
16 years 7 months ago
Principled fusion of high-level model and low-level cues for motion segmentation
High-level generative models provide elegant descriptions of videos and are commonly used as the inference framework in many unsupervised motion segmentation schemes. However, app...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
127
Voted
KAIS
2006
87views more  KAIS 2006»
15 years 5 months ago
Improving the performance of 1D object classification by using the Electoral College
Abstract It has been proven that districted matching schemes (e.g., the US presidential election scheme, also called the Electoral College) are more stable than undistricted matchi...
Liang Chen, Ruoyu Chen, Sharmin Nilufar