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IAT
2005
IEEE
15 years 8 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
WACV
2005
IEEE
15 years 8 months ago
Image Segmentation by Unsupervised Sparse Clustering
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
Byoung-Ki Jeon, Yun-Beom Jung, Ki-Sang Hong
EMMCVPR
2005
Springer
15 years 8 months ago
Linear Programming Matching and Appearance-Adaptive Object Tracking
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
Hao Jiang, Mark S. Drew, Ze-Nian Li
SPIRE
2005
Springer
15 years 8 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez
ECAI
1998
Springer
15 years 7 months ago
Optimal Scheduling of Dynamic Progressive Processing
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
Abdel-Illah Mouaddib, Shlomo Zilberstein