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» Structure in the Space of Value Functions
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NIPS
1996
15 years 7 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
ICASSP
2011
IEEE
14 years 10 months ago
Seam merging for image resizing with structure preservation
In image resizing process, preserving structure on an image is important to produce plausible results. We proposed seam merging, a seam-carving-based image resizing method, and a ...
Kazu Mishiba, Masaaki Ikehara
ICDT
1999
ACM
133views Database» more  ICDT 1999»
15 years 10 months ago
A Framework for the Investigation of Aggregate Functions in Database Queries
Abstract. In this paper we present a new approach for studying aggregations in the context of database query languages. Starting from a broad de nition of aggregate function, we ad...
Luca Cabibbo, Riccardo Torlone
ASPLOS
1996
ACM
15 years 10 months ago
Shasta: A Low Overhead, Software-Only Approach for Supporting Fine-Grain Shared Memory
This paper describes Shasta, a system that supports a shared address space in software on clusters of computers with physically distributed memory. A unique aspect of Shasta compa...
Daniel J. Scales, Kourosh Gharachorloo, Chandramoh...
CORR
2006
Springer
93views Education» more  CORR 2006»
15 years 6 months ago
Functional dissipation microarrays for classification
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
D. Napoletani, Daniele C. Struppa, T. Sauer, V. Mo...