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CVPR
2008
IEEE
14 years 9 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
DATE
1999
IEEE
172views Hardware» more  DATE 1999»
14 years 7 hour ago
An Object-Based Executable Model for Simulation of Real-Time Hw/Sw Systems
This paper describes a simulation technique for RealTime Hw/Sw systems based on an object executable model. It allows designers to seamlessly estimate and verify their solutions f...
Olivier Pasquier, Jean Paul Calvez
EPIA
2003
Springer
14 years 27 days ago
Adaptation to Drifting Concepts
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
Gladys Castillo, João Gama, Pedro Medas
CVPR
2012
IEEE
11 years 10 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
AMDO
2004
Springer
14 years 1 months ago
Recognition and Tracking of the Members of a Moving Human Body
We present a method to solve the human silhouette tracking problem using 18 major human points. We used: a simple 2D model for the human silhouette, a linear prediction technique f...
Costas Panagiotakis, Georgios Tziritas