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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 10 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICIP
2006
IEEE
16 years 7 months ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
PRESENCE
2002
105views more  PRESENCE 2002»
15 years 5 months ago
Modeling Real Objects Using Video See-Through Augmented Reality
This paper presents a method for creating 3D models of real objects using video see-through augmented reality. We use a tracked probe to sample the objects' geometries and vi...
Joohi Lee, Gentaro Hirota, Andrei State
ICIP
2009
IEEE
16 years 7 months ago
2d-3d Registration Of Deformable Shapes With Manifold Projection
We present an algorithm able to register a known 3D deformable model to a set of 2D matched points extracted from a single image. Unlike previous approaches, the problem is solved...
AIMSA
2006
Springer
15 years 10 months ago
Machine Learning for Spoken Dialogue Management: An Experiment with Speech-Based Database Querying
Although speech and language processing techniques achieved a relative maturity during the last decade, designing a spoken dialogue system is still a tailoring task because of the ...
Olivier Pietquin