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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 2 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
JMLR
2006
169views more  JMLR 2006»
15 years 4 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ENVSOFT
2007
109views more  ENVSOFT 2007»
15 years 4 months ago
The Automated Geospatial Watershed Assessment tool
A toolkit for distributed hydrologic modeling at multiple scales using two independent models within a geographic information system is presented. This open-source, freely availab...
Scott N. Miller, Darius J. Semmens, David C. Goodr...
GLOBECOM
2006
IEEE
15 years 10 months ago
Modelling the Impact of User Mobility on the Throughput in Networks of Wireless 802.11 LANs
— The wireless LAN technology 802.11, also called Wi-Fi, offers high speed wireless Internet access for local area environments. WLANs provide much higher data rates than the mob...
Sandjai Bhulai, Robert D. van der Mei, Taoying Yua...
PAMI
2006
138views more  PAMI 2006»
15 years 4 months ago
Context-Based Segmentation of Image Sequences
We describe an algorithm for context-based segmentation of visual data. New frames in an image sequence (video) are segmented based on the prior segmentation of earlier frames in ...
Jacob Goldberger, Hayit Greenspan