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CVPR
2008
IEEE
15 years 12 days ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ICCV
2005
IEEE
15 years 9 days ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
ICPR
2004
IEEE
14 years 11 months ago
Pruning Local Feature Correspondences Using Shape Context
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
Allan D. Jepson, Gustavo Carneiro
GIS
2008
ACM
14 years 11 months ago
Qualitative geocoding of persistent web pages
Information and specifically Web pages may be organized, indexed, searched, and navigated using various metadata aspects, such as keywords, categories (themes), and also space. Wh...
Albert Angel, Chara Lontou, Dieter Pfoser, Alexand...
DAC
2007
ACM
14 years 11 months ago
Implicitly Parallel Programming Models for Thousand-Core Microprocessors
This paper argues for an implicitly parallel programming model for many-core microprocessors, and provides initial technical approaches towards this goal. In an implicitly paralle...
Wen-mei W. Hwu, Shane Ryoo, Sain-Zee Ueng, John H....