2004 Talks

November

Date

Presenter

Description Talks Info

24 Nov
Thanksgiving

11/24/2004 No Meeting

No Meeting

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03 Nov
Alyosha Efros

11/3/2004 Seeing Through Water

Seeing Through Water Abstract: We consider the problem of

recovering an underwater image distorted by surface waves. A large amount of video data of the distorted image is acquir

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December

Date

Presenter

Description Talks Info

01 Dec
Sanjeev Koppal

12/1/2004 Appearance Sampling for Obtaining A Set of Basis Images for Variable Illumination

Appearance Sampling for Obtaining A Set of Basis Images for

Variable Illumination Imari Sato, Takahiro Okabe, Yoichi Sato, and Katsushi Ikeuchi Paper here.

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15 Dec
Black "Friday"

12/15/2004 No meeting.

No meeting.

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29 Dec
Winter Break

12/29/2004 No meeting.

No meeting.

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08 Dec
Qifa Ke

12/8/2004 Learning a kernel matrix for nonlinear dimensionality reduction

Learning a kernel matrix for nonlinear dimensionality reduct

ion K. Q. Weinberger, F. Sha, and L. K. Saul ICML 2004 This paper is about how to use semidefinite programming to lea

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February

Date

Presenter

Description Talks Info

04 Feb
Yan Ke

I'll be presenting my recent work on local image descriptors

I'll be presenting my recent work on local image descriptors

. We extend David Lowe's SIFT by applying PCA to build the descriptor instead of using windows of histograms. A technic

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11 Feb
Fernando De La Torre

Extreme Components Analysis

The papers I will discuss on wednesday are: Extreme Compone

nts Analysis Max Welling, Felix Agakov, Christopher K. I. Williams. Paper here. and if I have time: Non-linear CC

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18 Feb
Sanjiv Kumar

The Unified Propagation and Scaling Algorithm

I will talk about the paper from Teh and Welling about gener

alized inference: The Unified Propagation and Scaling Algorithm, Y. W. Teh and M. Welling, NIPS 2001. Paper here.

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25 Feb
Ranjith Unnikrishnan

I'll be presenting Out-of-sample extensions for LLE, Isomap, MDS, Eigenmaps and Spectral clustering by Y.Bengio et al (NIPS 2003)

I'll be presenting Out-of-sample extensions for LLE, Isomap,

MDS, Eigenmaps and Spectral clustering by Y.Bengio et al (NIPS 2003). Paper here. The paper develops a unified framewo

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