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JCSS
2007
77views more  JCSS 2007»
15 years 1 months ago
A new approach to model virtual channels in interconnection networks
In this paper we present a new approach to model the effect of virtual channel multiplexing in high-speed interconnection networks. Previous studies have used a method proposed by...
Nasser Alzeidi, Ahmad Khonsari, Mohamed Ould-Khaou...
CVPR
2005
IEEE
16 years 4 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
SECON
2010
IEEE
14 years 11 months ago
Deconstructing Interference Relations in WiFi Networks
Abstract--Wireless interference is the major cause of degradation of capacity in 802.11 wireless networks. We present an approach to estimate the interference between nodes and lin...
Anand Kashyap, Utpal Paul, Samir R. Das
JMM2
2006
146views more  JMM2 2006»
15 years 1 months ago
Multifont Arabic Characters Recognition Using HoughTransform and HMM/ANN Classification
Optical Characters Recognition (OCR) has been an active subject of research since the early days of computers. Despite the age of the subject, it remains one of the most challengin...
Nadia Ben Amor, Najoua Essoukri Ben Amara
TMM
2002
104views more  TMM 2002»
15 years 1 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...