# Greedy algorithm

## Papers overview

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Highly Cited

2011

Highly Cited

2011

- CVPR
- 2011

We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function… (More)

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Highly Cited

2006

Highly Cited

2006

- NIPS
- 2006

Deep multi-layer neural networks have many levels of non-linearities, which allows them to potentially represent very compactly… (More)

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Highly Cited

2006

Highly Cited

2006

- Neural Computation
- 2006

We show how to use complementary priors to eliminate the explaining-away effects that make inference difficult in densely… (More)

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Highly Cited

2006

Highly Cited

2006

- Signal Processing
- 2006

A simultaneous sparse approximation problem requests a good approximation of several input signals at once using different linear… (More)

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Highly Cited

2005

Highly Cited

2005

- IEEE Transactions on Signal Processing
- 2005

This paper considers the problem of simultaneous multiuser downlink beamforming. The idea is to employ a transmit antenna array… (More)

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Highly Cited

2004

Highly Cited

2004

- IEEE Transactions on Information Theory
- 2004

This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparse… (More)

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Highly Cited

2002

Highly Cited

2002

- Journal of Machine Learning Research
- 2002

In this paper we prove the so-called “Meek Conjecture”. In particular, we show that if a DAG H is an independence map of another… (More)

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Highly Cited

2000

Highly Cited

2000

- Journal of Computational Biology
- 2000

For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm… (More)

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Highly Cited

2000

Highly Cited

2000

- MobiCom
- 2000

We present Greedy Perimeter Stateless Routing (GPSR), a novel routing protocol for wireless datagram networks that uses the… (More)

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Highly Cited

1971

Highly Cited

1971

- Math. Program.
- 1971

(0) Many discrete programming algorithms are being proposed. One thing most of them have in common is that they do not work very… (More)

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