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ACCV
2006
Springer
13 years 11 months ago
A Bottom up Algebraic Approach to Motion Segmentation
We present a bottom up algebraic approach for segmenting multiple 2D motion models directly from the partial derivatives of an image sequence. Our method fits a polynomial called ...
Dheeraj Singaraju, René Vidal
CVPR
2005
IEEE
14 years 7 months ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
VLSID
1996
IEEE
132views VLSI» more  VLSID 1996»
13 years 9 months ago
A study of composition schemes for mixed apply/compose based construction of ROBDDs
Reduced Ordered Binary Decision Diagrams ROBDDs have traditionally been built in a bottom-up fashion. In this scheme, the intermediate peak memory utilization is often larger than...
Amit Narayan, Sunil P. Khatri, Jawahar Jain, Masah...
ACL
1998
13 years 6 months ago
A Flexible Example-Based Parser Based on the SSTC
In this paper we sketch an approach for Natural Language parsing. Our approach is an example-based approach, which relies mainly on examples that already parsed to their represent...
Mosleh Hmoud Al-Adhaileh, Tang Enya Kong
CVPR
2011
IEEE
12 years 9 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk