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» Probabilistic Object Tracking Using Multiple Features
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CVPR
2008
IEEE
15 years 11 months ago
Structure-perceptron learning of a hierarchical log-linear model
In this paper, we address the problems of deformable object matching (alignment) and segmentation with cluttered background. We propose a novel hierarchical log-linear model (HLLM...
Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille
ICPPW
2008
IEEE
15 years 4 months ago
Non-Contiguous I/O Support for Object-Based Storage
The access patterns performed by disk-intensive applications vary widely, from simple contiguous reads or writes through an entire file to completely unpredictable random access....
Dennis Dalessandro, Ananth Devulapalli, Pete Wycko...
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 4 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
IJCV
2008
157views more  IJCV 2008»
14 years 9 months ago
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
Systems utilizing multiple sensors are required in many domains. In this paper, we specifically concern ourselves with applications where dynamic objects appear randomly and the s...
Anurag Mittal, Larry S. Davis
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 3 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth