Prof. Rocha offering cycle of talks in Singapore

Prof. Anderson Rocha is currently in Singapore, where he is offering a cycle of talks. Here’s the schedule of the first ones —

Machine Intelligence and Multimedia Understanding

Abstract :
In this talk I’ll discuss some of the research topics and problems we have been investigating in our Reasoning for Complex Data Lab. (RECOD) in Campinas, SP, Brazil. The problems of interest include: big data pattern analysis, digital forensics, biometrics, open-set recognition, multimedia phylogeny and multimedia forensics.

Place : School of Computer Engineering, Nanyang Technological University (NTU)
Host : Prof. Ho Shen-Shyang
Time : 8/July @10AM

Place : Rapid-Rich Object Search (ROSE) Lab. – School of Electrical & Electronic Engineering, Nanyang Technological University (NTU)
Host: Prof. Dr. Alex​​​ Chichung Kot, Associate Dean (Graduate Studies)
Time: 8/July @2PM

Meta-Recognition: concepts and applications for data fusion and failure prediction in recognition systems

Abstract :
In this talk, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its postrecognition score analysis form through the use of the statistical extreme value theory (EVT). The ability to predict the performance of a recognition system based on its outputs for each match instance is desirable for a number of important reasons, including automatic threshold selection for determining matches and nonmatches, and automatic algorithm selection or weighting for multi-algorithm fusion. The emerging body of literature on postrecognition score analysis has been largely constrained to biometrics, where the analysis has been shown to successfully complement or replace image quality metrics as a predictor. We develop a new statistical predictor based upon the Weibull distribution, which produces accurate results on a per instance recognition basis across different recognition problems. Experimental results are provided for two different face recognition algorithms, a fingerprint recognition algorithm, a SIFT-based object recognition system, and a content-based image retrieval system. We exemplify the approach with a multi-attribute search engine involving textual and visual information.

Place : Rapid-Rich Object Search (ROSE) Lab. – School of Electrical & Electronic Engineering, Nanyang Technological University (NTU)
Host : Prof. Dr. Alex​​​ Chichung Kot, Associate Dean (Graduate Studies)
Time : 9/July @2PM

Towards open-set recognition: definitions, applications, and opportunities

Abstract :
To date, almost all experimental evaluations of machine learning-based recognition algorithms in computer vision have taken the form of “closed set” recognition, whereby all testing classes are known at training time. A more realistic scenario for vision applications is “open set” recognition, where incomplete knowledge of the world is present at training time, and unknown classes can be submitted to an algorithm during testing. In this talk, we explore the very nature of open set recognition and formalizes its definition as a constrained minimization problem. The open set recognition problem is not well addressed by existing algorithms because it requires strong generalization. As a step toward a solution, we discuss a novel “1-vs-set machine,” we proposed recently which sculpts a decision space from the marginal distances of a 1-class or binary SVM with a linear kernel. This methodology applies to several different applications in computer vision where open set recognition is a challenging problem, including object recognition and face verification. We consider both in this work, with large scale cross-dataset experiments performed over the Caltech 256 and ImageNet sets, as well as face matching experiments performed over the Labeled Faces in the Wild set. The experiments highlight the effectiveness of machines adapted for open set evaluation compared to existing 1-class and binary SVMs for the same tasks.

Place : Rapid-Rich Object Search (ROSE) Lab. – School of Electrical & Electronic Engineering, Nanyang Technological University (NTU)
Host : Prof. Dr. Alex​​​ Chichung Kot, Associate Dean (Graduate Studies)
Time : 15/July @2PM

If you are there, don’t hesitate to say hi !

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About eduardovalle

Professor at FEEC/UNICAMP, Brazil. Researcher on Machine Learning/Computer Vision, with emphasis on Health & Education applications.
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One Response to Prof. Rocha offering cycle of talks in Singapore

  1. Pingback: Two more talks by Prof. Rocha in Singapore | RECOD — Reasoning for Complex Data

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