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» Structure in the Space of Value Functions
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NIPS
1996
14 years 11 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 1 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 2 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 1 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»
14 years 9 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...