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» Introduction to Randomized Algorithms
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ICML
2007
IEEE
16 years 4 months ago
Learning random walks to rank nodes in graphs
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
Alekh Agarwal, Soumen Chakrabarti
ICC
2007
IEEE
15 years 9 months ago
Opportunistic Power Allocation for Random Beamforming in MISO Broadcast Channels
Abstract— This paper proposes the opportunistic power allocation (OPA) scheme for random beamforming with a limited feedback rate. Without the channel state information, the prop...
Edward W. Jang, Hyukjoon Kwon, John M. Cioffi
ICCV
2007
IEEE
15 years 9 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
KES
2007
Springer
15 years 9 months ago
Random Germs and Stochastic Watershed for Unsupervised Multispectral Image Segmentation
This paper extends the use of stochastic watershed, recently introduced by Angulo and Jeulin [1], to unsupervised segmentation of multispectral images. Several probability density ...
Guillaume Noyel, Jesús Angulo, Dominique Je...
ICPR
2006
IEEE
15 years 9 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