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THE SURGERY EXACT SEQUENCE REVISITED
"... Abstract. The purpose of this paper is to discuss the fourperiodicity of the topological surgery exact sequence from the point of view of controlled surgery. Consider the classical surgery exact sequence [7], for determining the topological structure set for a given ndimensional Poincare ́ duality ..."
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Abstract. The purpose of this paper is to discuss the fourperiodicity of the topological surgery exact sequence from the point of view of controlled surgery. Consider the classical surgery exact sequence [7], for determining the topological structure set for a given ndimensional Poincare ́
TRANSFER IN THE EQUIVARIANT SURGERY EXACT SEQUENCE
"... Let $G $ be a finite group. The classification of $G$manifolds can be approached through the equivariant surgery exact sequence. In the category of locally linear PL$G$manifolds with a certain stability condition ( $‘\zeta \mathrm{t}\mathrm{h}\mathrm{e} $ gap hypothesis ”), a surgery exact sequen ..."
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Let $G $ be a finite group. The classification of $G$manifolds can be approached through the equivariant surgery exact sequence. In the category of locally linear PL$G$manifolds with a certain stability condition ( $‘\zeta \mathrm{t}\mathrm{h}\mathrm{e} $ gap hypothesis ”), a surgery exact
The surgery exact sequence, Ktheory and the signature operator
, 2014
"... The main result of this paper is a new and direct proof of the natural transformation from the surgery exact sequence in topology to the analytic Ktheory sequence of Higson and Roe. Our approach makes crucial use of analytic properties and new index theorems for the signature operator on Galois cov ..."
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Cited by 2 (0 self)
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The main result of this paper is a new and direct proof of the natural transformation from the surgery exact sequence in topology to the analytic Ktheory sequence of Higson and Roe. Our approach makes crucial use of analytic properties and new index theorems for the signature operator on Galois
TRANSFER BETWEEN STRUCTURE SETS IN EQUIVARIANT SURGERY EXACT SEQUENCES
"... Let $G $ be afinite group. The classification of $G$manifolds can be approached through the equivariant surgery exact sequence. In the category of locally linear PL$C_{7}$manifolds with acertain stability condition (”the gap hypothesis”), asurgery exact sequence was set up by I. Madsen and M. Rot ..."
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Let $G $ be afinite group. The classification of $G$manifolds can be approached through the equivariant surgery exact sequence. In the category of locally linear PL$C_{7}$manifolds with acertain stability condition (”the gap hypothesis”), asurgery exact sequence was set up by I. Madsen and M
The Structure Set of an Arbitrary Space, the Algebraic Surgery Exact Sequence and the Total Surgery Obstruction
, 2001
"... ..."
Approximate Riemann Solvers, Parameter Vectors, and Difference Schemes
 J. COMP. PHYS
, 1981
"... Several numerical schemes for the solution of hyperbolic conservation laws are based on exploiting the information obtained by considering a sequence of Riemann problems. It is argued that in existing schemes much of this information is degraded, and that only certain features of the exact solution ..."
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Cited by 1010 (2 self)
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Several numerical schemes for the solution of hyperbolic conservation laws are based on exploiting the information obtained by considering a sequence of Riemann problems. It is argued that in existing schemes much of this information is degraded, and that only certain features of the exact solution
Dynamic Bayesian Networks: Representation, Inference and Learning
, 2002
"... Modelling sequential data is important in many areas of science and engineering. Hidden Markov models (HMMs) and Kalman filter models (KFMs) are popular for this because they are simple and flexible. For example, HMMs have been used for speech recognition and biosequence analysis, and KFMs have bee ..."
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Cited by 770 (3 self)
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sequential data.
In particular, the main novel technical contributions of this thesis are as follows: a way of representing
Hierarchical HMMs as DBNs, which enables inference to be done in O(T) time instead of O(T 3), where T is the length of the sequence; an exact smoothing algorithm that takes O(log T
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
, 2004
"... Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear m ..."
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Cited by 1513 (20 self)
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Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear
Results 1  10
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