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» Learning Object Representations Using Sequential Patterns
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NIPS
2003
13 years 11 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
KI
2007
Springer
14 years 4 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
ICCV
2003
IEEE
14 years 3 months ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu
VIROLOGY
2010
179views more  VIROLOGY 2010»
13 years 8 months ago
Automatic binary deobfuscation
Abstract. This paper gives an overview of our research in the automation of the process of software protection analysis. We will focus more particularly on the problem of obfuscati...
Yoann Guillot, Alexandre Gazet
LREC
2010
236views Education» more  LREC 2010»
13 years 11 months ago
ProPOSEC: A Prosody and PoS Annotated Spoken English Corpus
We have previously reported on ProPOSEL, a purpose-built Prosody and PoS English Lexicon compatible with the Python Natural Language ToolKit. ProPOSEC is a new corpus research res...
Claire Brierley, Eric Atwell