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ICPR
2006
IEEE
15 years 6 months ago
A Conditional Random Field Model for Video Super-resolution
In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
Dan Kong, Mei Han, Wei Xu, Hai Tao, Yihong Gong
118
Voted
ATVA
2008
Springer
131views Hardware» more  ATVA 2008»
15 years 2 months ago
Dynamic Model Checking with Property Driven Pruning to Detect Race Conditions
We present a new property driven pruning algorithm in dynamic model checking to efficiently detect race conditions in multithreaded programs. The main idea is to use a lockset base...
Chao Wang, Yu Yang, Aarti Gupta, Ganesh Gopalakris...
130
Voted
ICIP
2008
IEEE
16 years 2 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
111
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale
86
Voted
MASCOTS
2010
15 years 2 months ago
An Analytical Model with Improved Accuracy of IEEE 802.11 Protocol Under Unsaturated Conditions
In this work the authors present an analytical model that -- compared to previously published work -- more accurately captures the delay of IEEE 802.11 protocol under low, medium,...
Kumaran Vijayasankar, Azar Taufique, Lakshmi Naras...