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» Markov Random Field Modeling in Computer Vision
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206
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PKC
2011
Springer
219views Cryptology» more  PKC 2011»
14 years 6 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
163
Voted
WACV
2005
IEEE
15 years 9 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
158
Voted
ICPR
2008
IEEE
15 years 10 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
135
Voted
GLOBECOM
2007
IEEE
15 years 10 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
189
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CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 5 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