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» Definition and modeling of process using object orientation
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EMMCVPR
2001
Springer
15 years 11 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ICCV
2011
IEEE
14 years 6 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry
GRAPHITE
2005
ACM
16 years 4 days ago
Adaptive T-spline surface fitting to z-map models
Surface fitting refers to the process of constructing a smooth representation for an object surface from a fairly large number of measured 3D data points. This paper presents an ...
Jianmin Zheng, Yimin Wang, Hock Soon Seah
MP
2007
145views more  MP 2007»
15 years 6 months ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz
SIGMETRICS
2010
ACM
197views Hardware» more  SIGMETRICS 2010»
15 years 11 months ago
Coloring spatial point processes with applications to peer discovery in large wireless networks
In this paper, we study distributed channel assignment in wireless networks with applications to peer discovery in ad hoc wireless networks. We model channel assignment as a color...
Jian Ni, R. Srikant, Xinzhou Wu