Pro-Multidis-CM


PROcesamiento MULTImedia DIStribuido
Programa S - 0505/TIC/0233, IV PRICIT, CM

Probabilistic Machine Learning in Computational Advertising

Ponente: Dr. Joaquin Quiñonero

In the past few years online advertising has grown at least an order of magnitude faster than advertising on all other media. This talk focuses on advertising on search engines, where accurate predictions of the probability that a user clicks on an advertisement crucially benefit all three parties involved: the user, the advertiser, and the search engine. We present a fully probabilistic classification model that has the ability of learning from terabytes of web usage data. The model explicitly represents uncertainty allowing for fully probabilistic predictions.

Fecha: 25 de Mayo de 2009
Horario: 13:00
Lugar: EPS Universidad Carlos III, Edificio Torres Quevedo, Aula 4.3.A05

Seminario: Video Analysis and Semantic Concepts for Multimedia Retrieval

Ponente: Alexander Hauptmann (Computer Science Department, Carnegie Mellon University)

Recent years have seen increasing popularity of video as a shared, searchable medium, with over 100 million daily views from YouTube clips as prime evidence. This talk will cover some of the successes in video retrieval research, focusing on broadcast content as the most extensively studied area.

After beginning with a background of audio and video analysis, and spoken document retrieval, the talk will then discuss some current research issues, foremost of these is retrieval based on semantic concepts. One conjecture is that robust semantic concept classification could provide the means to close the semantic gap, which would allow a characterization of visual or graphic content through natural language.

This leads to an examination into the combination of knowledge sources for retrieval, relevance feedback and interfaces for retrieval. Semantic concepts also motivate new research in perspective and bias analysis.

I will conclude by pointing out multimedia research opportunities in related areas, such as web video and long-term surveillance.

This talk is based on joint work with numerous members of the Informedia Project over multiple years.

Fecha: 8 de Mayo de 2009
Horario: 12:00
Lugar: Escuela Politécnica Superior, Universidad Autónoma de Madrid

Information Theoretic Signal Processing

Ponente: Prof. Dr. Jose C. Principe (Distinguished Professor, EE, Univ of Florida, Gainesville, FL, USA)

This talk describes our efforts to go beyond the second order moment assumption still prevalent in optimal signal processing. We show how the second norm of the PDF can be estimated directly from data avoiding an explicit PDF estimation step. The link between PDF moments, information theory and Reproducing Kernel Hilbert Spaces will be established. Applications to adaptive systems with entropic cost functions will be demonstrated. A generalized correlation function called correntropy will be defined and its applications in signal processing will be outlined. Correntropy leads to new measures of similarity, to a new definition of dependence subspaces and to new tests for causality.

Fecha: 30 de Octubre de 2008
Horario: 12:30
Lugar: EPS Universidad Carlos III, Edificio Torres Quevedo, Aula 4.3.A05

Modelos y algoritmos para localización y navegación de vehículos

Ponente: Mariana Spangenberg (ENSEEIHT Toulouse)
Fecha: 11 de Julio de 2008
Horario: 11:00
Lugar: EPS Universidad Carlos III, Edificio Torres Quevedo, Aula 4.2.E.03

Seminario de Investigación

Actividad de Formación Continua del Programa Oficial de Posgrado en Ingeniería Informática y de Telecomunicación.

Fecha: 9 de Junio de 2008
Horario: 12:00
Lugar: Salón de grados, Escuela Politécnica Superior, Universidad Autónoma de Madrid
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