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» A Model Selection Approach for Local Learning
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VIS
2004
IEEE
166views Visualization» more  VIS 2004»
14 years 10 months ago
Quick-VDR: Interactive View-Dependent Rendering of Massive Models
We present a novel approach for interactive view-dependent rendering of massive models. Our algorithm combines view-dependent simplification, occlusion culling, and out-of-core re...
Sung-Eui Yoon, Brian Salomon, Russell Gayle, Dines...
MIR
2004
ACM
236views Multimedia» more  MIR 2004»
14 years 2 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
IFIP12
2004
13 years 10 months ago
Model-Based Debugging with High-Level Observations
Recent years have seen considerable developments in modeling techniques for automatic fault location in programs. However, much of this research considered the models from a standa...
Wolfgang Mayer, Markus Stumptner
ICML
2006
IEEE
14 years 9 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ENTCS
2007
115views more  ENTCS 2007»
13 years 8 months ago
A Global Algorithm for Model-Based Test Suite Generation
Abstract. Model-based testing has been proposed as a technique to automatically verify that a system conforms to its specification. A popular approach is to use a model-checker to...
Anders Hessel, Paul Pettersson