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» Decision Making Using Probabilistic Inference Methods
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ICML
2004
IEEE
15 years 10 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
TAPSOFT
1995
Springer
15 years 1 months ago
Static and Dynamic Processor Allocation for Higher-Order Concurrent Languages
Starting from the process algebra for Concurrent ML we develop two program analyses that facilitate the intelligent placement of processes on processors. Both analyses are obtaine...
Hanne Riis Nielson, Flemming Nielson
APPT
2005
Springer
14 years 11 months ago
Probabilistic Continuous Update Scheme in Location Dependent Continuous Queries
It is difficult to maintain the exact location of mobile objects due to the limited resources in a mobile network. A consequence of this problem is that the update cost for a locat...
Song Han, Edward Chan
ICIP
2008
IEEE
15 years 4 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
ICRA
2010
IEEE
127views Robotics» more  ICRA 2010»
14 years 8 months ago
Probabilistically complete planning with end-effector pose constraints
Abstract— We present a proof for the probabilistic completeness of RRT-based algorithms when planning with constraints on end-effector pose. Pose constraints can induce lowerdime...
Dmitry Berenson, Siddhartha S. Srinivasa