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AAAI
2007
15 years 3 months ago
Near-optimal Observation Selection using Submodular Functions
AI problems such as autonomous robotic exploration, automatic diagnosis and activity recognition have in common the need for choosing among a set of informative but possibly expen...
Andreas Krause, Carlos Guestrin
116
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CVPR
2005
IEEE
16 years 2 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
82
Voted
ICIAP
2005
ACM
16 years 26 days ago
Efficient Shape Matching Using Weighted Edge Potential Functions
An efficient approach to shape matching in digital images is presented. The method, called Weighted Edge Potential Function, is a significant improvement of the EPF similarity meas...
Minh-Son Dao, Francesco DeNatale, Andrea Massa
SOCO
2009
Springer
15 years 7 months ago
Feature (De)composition in Functional Programming
Abstract. The separation of concerns is a fundamental principle in software engineering. Crosscutting concerns are concerns that do not align with hierarchical and block decomposit...
Sven Apel, Christian Kästner, Armin Grö&...
CCA
2005
Springer
15 years 2 months ago
Computable Versions of Basic Theorems in Functional Analysis
If one wishes to find out whether a computational problem over discrete data is solvable or how complex it is, the classical approach is to represent the discrete objects in quest...
Atsushi Yoshikawa, Mariko Yasugi