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NECO
1998
83views more  NECO 1998»
15 years 5 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
TASLP
2002
84views more  TASLP 2002»
15 years 5 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
EMSOFT
2010
Springer
15 years 4 months ago
Reducing stack with intra-task threshold priorities in real-time systems
In the design of hard real-time systems, the feasibility of the task set is one of the primary concerns. However, in embedded systems with scarce resources, optimizing resource us...
Gang Yao, Giorgio C. Buttazzo
190
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ICCV
2009
IEEE
15 years 3 months ago
Structural SVM for visual localization and continuous state estimation
We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative `p...
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu
PKC
2011
Springer
219views Cryptology» more  PKC 2011»
14 years 8 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