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SSPR
2010
Springer
13 years 9 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
BMCBI
2006
101views more  BMCBI 2006»
13 years 10 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
ECCV
2002
Springer
15 years 18 days ago
Tracking and Rendering Using Dynamic Textures on Geometric Structure from Motion
Estimating geometric structure from uncalibrated images accurately enough for high quality rendering is difficult. We present a method where only coarse geometric structure is trac...
Dana Cobzas, Martin Jägersand
ACSAC
2001
IEEE
14 years 2 months ago
Practical Automated Filter Generation to Explicitly Enforce Implicit Input Assumptions
Vulnerabilities in distributed applications are being uncovered and exploited faster than software engineers can patch the security holes. All too often these weaknesses result fr...
Valentin Razmov, Daniel R. Simon
ICSOC
2010
Springer
13 years 9 months ago
A Programmble Fault Injection Testbed Generator for SOA
In this demo paper we present the prototype of our fault injection testbed generator. Our tool empowers engineers to generate emulated SOA environments and to program fault injecti...
Lukasz Juszczyk, Schahram Dustdar