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CORR
2006
Springer
145views Education» more  CORR 2006»
13 years 9 months ago
Algebraic Signal Processing Theory
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
Markus Püschel, José M. F. Moura
ECCV
2002
Springer
14 years 10 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
MICCAI
2008
Springer
14 years 10 months ago
Efficient Computation of PDF-Based Characteristics from Diffusion MR Signal
Abstract. We present a general method for the computation of PDFbased characteristics of the tissue micro-architecture in MR imaging. The approach relies on the approximation of th...
David Tschumperlé, Haz-Edine Assemlal, Luc ...
STOC
1998
ACM
190views Algorithms» more  STOC 1998»
14 years 1 months ago
Efficient Search for Approximate Nearest Neighbor in High Dimensional Spaces
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Eyal Kushilevitz, Rafail Ostrovsky, Yuval Rabani
EWRL
2008
13 years 10 months ago
Efficient Reinforcement Learning in Parameterized Models: Discrete Parameter Case
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
Kirill Dyagilev, Shie Mannor, Nahum Shimkin