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» Shape Matching and Object Recognition Using Shape Contexts
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SSPR
2010
Springer
15 years 8 days 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...
122
Voted
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 8 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
108
Voted
ICPR
2000
IEEE
15 years 6 months ago
Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts
This paper presents a real-time computer vision system that tracks the motion of a tennis ball in 3D using multiple cameras. Ball tracking enables virtual replays, new game statis...
Gopal Sarma Pingali, Agata Opalach, Yves Jean
HUC
2003
Springer
15 years 7 months ago
Building World Models by Ray-Tracing within Ceiling-Mounted Positioning Systems
Context-aware computing in location-aware environments demands the combination of real world position with a computational world model to infer context. We present a novel approach...
Robert K. Harle, Andy Hopper
141
Voted
SCALESPACE
2009
Springer
15 years 8 months ago
A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Carole Le Guyader, Luminita A. Vese