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COLT
2007
Springer
16 years 25 days ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo
ECML
2007
Springer
16 years 24 days ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
GLOBECOM
2006
IEEE
16 years 21 days ago
A Game Theoretic Approach to Detect Network Intrusions: The Cooperative Intruders Scenario
Abstract— In this paper, we consider the problem of detecting intrusions initiated by cooperative malicious nodes in infrastructure-based networks. We achieve this objective by s...
Mona Mehrandish, Hadi Otrok, Mourad Debbabi, Chadi...
CASES
2006
ACM
16 years 18 days ago
A dynamic binary instrumentation engine for the ARM architecture
Dynamic binary instrumentation (DBI) is a powerful technique for analyzing the runtime behavior of software. While numerous DBI frameworks have been developed for general-purpose ...
Kim M. Hazelwood, Artur Klauser
CVPR
2010
IEEE
16 years 8 days ago
Free-Form Mesh Tracking : a Patch-Based Approach
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Cedric Cagniart, Edmond Boyer, Slobodan Ilic