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97
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TSP
2008
75views more  TSP 2008»
15 years 3 months ago
Error Exponents for the Detection of Gauss-Markov Signals Using Randomly Spaced Sensors
We derive the Neyman
Saswat Misra, Lang Tong
191
Voted
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 1 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
137
Voted
ICMCS
2009
IEEE
231views Multimedia» more  ICMCS 2009»
15 years 1 months ago
Dynamic face appearance modeling and sight direction estimation based on local region tracking and scale-space topo-represention
Dynamic modeling of facial appearances and sight directions are demanded for HCI and multimedia applications. Traditional approaches for face tracking and eye tracking from 2D vid...
Shaun J. Canavan, Lijun Yin
140
Voted
AAAI
2010
15 years 5 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
ICIP
2003
IEEE
16 years 5 months ago
Object localization using texture motifs and Markov random fields
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath