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» Markov Random Field Models in Computer Vision
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PKC
2011
Springer
219views Cryptology» more  PKC 2011»
14 years 4 months ago
Linearly Homomorphic Signatures over Binary Fields and New Tools for Lattice-Based Signatures
ded abstract of this work appears in Public Key Cryptography — PKC 2011, ed. R. Gennaro, Springer LNCS 6571 (2011), 1–16. This is the full version. We propose a linearly homom...
Dan Boneh, David Mandell Freeman
148
Voted
WACV
2005
IEEE
15 years 7 months ago
Epipolar Constraints for Vision-Aided Inertial Navigation
— This paper describes a new method to improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of tim...
David D. Diel, Paul DeBitetto, Seth J. Teller
ICPR
2008
IEEE
15 years 8 months ago
Radical based fine trajectory HMMs of online handwritten characters
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
Peng Liu, Lei Ma, Frank K. Soong
120
Voted
GLOBECOM
2007
IEEE
15 years 8 months ago
Opportunistic Access with Random Subchannel Backoff (OARSB) for OFDMA Uplink
Abstract— A distributed medium access control (MAC) algorithm for uplink OFDMA networks under the IEEE 802.16 framework is proposed and analyzed in this work. We present a simple...
Yu-Jung Chang, Feng-Tsun Chien, C. C. Jay Kuo
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 3 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang