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Highly Cited

2014

Highly Cited

2014

Given a social network G and a constant $k$, the influence maximization problem asks for k nodes in G that (directly and…

Highly Cited

2014

Highly Cited

2014

Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious…

Highly Cited

2008

Highly Cited

2008

We propose a simple method to extract the community structure of large networks. Our method is a heuristic method that is based…

Highly Cited

2001

Highly Cited

2001

This paper describes a machine learning approach for visual object detection which is capable of processing images extremely…

Highly Cited

1999

Highly Cited

1999

An object recognition system has been developed that uses a new class of local image features. The features are invariant to…

Review

1998

Review

1998

Preface 1. Introduction Overview A Brief History of LMIs in Control Theory Notes on the Style of the Book Origin of the Book 2…

Highly Cited

1993

Highly Cited

1993

In this dissertation we study quantum computation from a complexity theoretic viewpoint. Our first result is the existence of an…

Highly Cited

1979

Highly Cited

1979

The complexity of the Discrete Fourier Transform (DFT) is studied with respect to a new model of computation appropriate to VLSI…

Highly Cited

1978

Highly Cited

1978

The problem of deciding whether a given propositional formula in conjunctive normal form is satisfiable has been widely studied…

Highly Cited

1971

Highly Cited

1971

It is shown that any recognition problem solved by a polynomial time-bounded nondeterministic Turing machine can be “reduced” to…