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» On Approximation Algorithms for Hierarchical MAX-SAT
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NECO
2007
127views more  NECO 2007»
13 years 8 months ago
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Joseph F. Murray, Kenneth Kreutz-Delgado
ATAL
2006
Springer
14 years 16 days ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith
WSC
2001
13 years 10 months ago
Dimensionality analysis of a simulation outcome space
This paper investigates the dimensionality characteristics of the outcome space of a combat simulation. The independent state variables of all of the outcome states for a simulati...
John B. Gilmer Jr., Frederick J. Sullivan
BMCBI
2006
151views more  BMCBI 2006»
13 years 8 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
ALGOSENSORS
2009
Springer
13 years 6 months ago
Brief Announcement: Universal Data Aggregation Trees for Sensor Networks in Low Doubling Metrics
Abstract. We describe a novel approach for constructing a single spanning tree for data aggregation towards a sink node. The tree is universal in the sense that it is static and in...
Srinivasagopalan Srivathsan, Costas Busch, S. Sith...