2002 Talks

February

Date

Presenter

Description Talks Info

11 Feb
Sanjiv Kumar

I will be speaking about the 'Bayesian Learning of Sparse Classifiers'.

I will be speaking about the 'Bayesian Learning of Sparse Cl

assifiers'. I will also discuss the related concept of Relevance Vector Machine (RVM) and its advantages (and disadvanta

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April

Date

Presenter

Description Talks Info

29 Apr
Charles Rosenberg

Brendan J. Frey and Nebojsa Jojic 2000. Transformation-invariant clustering and dimensionality reduction. To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, Submitted Nov. 2000.

I will discuss the work of Brendan Frey and Nebojsa Jojic on

incorporating latent variables to model clutter and transformations when modeling image data using Gaussians, mixtures

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May

Date

Presenter

Description Talks Info

13 May
David Tolliver

"Robust, on-line appearance models for vision tracking.", Jepson, A.D., Fleet, D.J. and El-Maraghi, T. CVPR 01. Runner-up for best paper.

I'll present: "Robust, on-line appearance models for v

ision tracking.", Jepson, A.D., Fleet, D.J. and El-Maraghi, T. CVPR 01. Runner-up for best paper.  More

August

Date

Presenter

Description Talks Info

09 Aug
Shyjan Mahamud

Discriminative Distance Measures for Object Detection

The

sis Oral

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October

Date

Presenter

Description Talks Info

16 Oct
Chuck Rosenberg

I will discuss the Viola and Jones face detector papers.

This paper provides a good concise description of the method

: Rapid Object Detection using a Boosted Cascade of Simple Features. Paul Viola and Michael Jones. CVPR 2001.

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02 Oct
Cristina Dima

10/2/2002 "Soft Margins for AdaBoost" by G. Ratsch, T. Onoda, K.R. Muller, Machine Learning 2000.

I will talk about the following paper: "Soft Margins for Ad

aBoost" by G. Ratsch, T. Onoda, K.R. Muller, Machine Learning 2000. The paper can be downloaded here. Here is the

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23 Oct
Tom Minka

10/23/2002 I will talk about the local linear embedding work of Roweis and Saul.

I will talk about the local linear embedding work of Roweis

and Saul.

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30 Oct
Bob Wang

10/30/2002 "Probabilistic 3D Data Fusion for Adaptive Resolution Surface Generation"

I will talk about Andrew Johnson and Roberto Manduchi's surf

ace integration paper in 3DPVT'02 according to Martial's suggestion: "Probabilistic 3D Data Fusion for Adaptive Resolut

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09 Oct
Henry Schneiderman

10/9/2002 I'll be talking about some recent work in classifier design.

I'll be talking about some recent work in classifier design.

The title of my talk will be "Using Competition to Design a Modified Bayes Classifier". Abstract: A modified nai

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January

Date

Presenter

Description Talks Info

23 Jan
Charles Rosenberg

1/23/2002 Partially labeled classification with Markov random walks by Martin Szummer and Tommi Jaakkola

I will give an overview of a paper from the recent NIPS conf

erence: Partially labeled classification with Markov random walks by Martin Szummer and Tommi Jaakkola Paper.

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