Latest revision as of 03:54, 6 May 2010

Discussion Topic 1: Introduction and Expections

• Hello everybody, I am Prof. Mimi, your instructor. My goal in this course is to teach you some fundamental tools that you can use to attack the different decision theory problems that you will encounter, along with the limits of these tools. I also hope to give you some ideas on how to address the limitations of current decision theory techniques. I am personally very interested in decision theory. Part of my research focuses on designing methods to extract features to represent data in such a way that no information is lost in the process. I am also interested in developing methods to remove information from a representation that is not helpful in making a decision. This is particularly challenging when the underlying data is high-dimensional. Looking forward to getting to know you all! --Mboutin 15:33, 12 January 2010 (UTC)
• Howdy, my name is Philip and I am a 2nd year PhD student in Computer Science working with Prof. Vernon Rego on generating and detecting hidden information in covert channels. Basically, I have two problems; the first is this: given a data set containing objects which may or may not contain hidden information (covert communication... think secret agents), find the objects which contain hidden information. The other problem is to generate objects within which we can hide information and do this in such a way that these new information-hiding objects can evade detection by the aforementioned detection system. I hope to learn from this course several methods for attacking my detection problem. I am looking forward to learning more about feature extraction and information representation methods. Pritchey 16:09, 12 January 2010 (UTC)
• Hello everyone, I'm Lin Yuan, 2nd year PhD in Computer Engineering area, ECE. I'm working with Prof. George Lee on Cognitive Robotics. Machine Learning algorithms have been used for place recognition for mobile robots. We are investigating possible models to incorporate existing Computer Vision and Pattern Recognition methods on Object Detection to infer human activity intention. Yuanl 16:14, 13 January 2010 (UTC)
• Hi, I am Rami Alazrai, I just finished my Master’s in ECE and this is my first semester in PhD, I am working with prof. George Lee on Emotion detection and HRI. We are utilizing image processing and computer vision techniques to come up with a framework for Emotion and intention detection that can be used in HRI.
• Hello everyone, I am Aurélien Roy and this is my 2nd semester of CS Master. Having already a French diploma of aeronautical engineering, I wish to work later in the software field of unmanned aircrafts. Despite the criticity of these kind of embedded systems, I think there will be more and more Artificial Intelligence onboard. That is why I try to learn the more possible about AI.

Un étudiant français!!! En plus, je crois qu'il a un clavier français, alors je n'ai plus qu'à "coller et copier" pour écrire les accents maintenant. STP tu pourrais ecrire un mot avec une cédille et un autre avec un "a" accent grave quelque part? Comme ça je pourrais corriger les fautes dans ce commentaire. -pm

éèêëàç - J'espère qu'il n'y a tout de même pas trop de fautes :S

Non, non. Je parlais de mon commentaire à moi. Voilà, c'est corrigé maintenant. -pm

• Greetings all. I'm Jim Vaught, a 2nd year ECE PhD student working with Professor Boutin. My research interests are applied mathematics, cryptography and steganography. Applying information theoretic results, stego can be approached as a noisy channel coding problem. I look forward to seeing how the statistical decision making techniques we learn in this course can be applied to channel encoder/decoder design in that context. As a side note, the author of our course text, Dr. Fukunaga, was my EE 301 professor back in 96. I am looking forward to reading his book.

Salutations, Jim. My research is also into steganography and I would enjoy an opportunity to have a chat with you and learn more about what you are doing. Cheers, Pritchey 10:34, 25 January 2010 (UTC)

That would be great. My email is jvaught@purdue.edu. I don't know exactly what I'm going to do yet, but I'd be happy to discuss stego.

• Hello everyone, I'm Ignacio Laguna, PhD student in computer engineering at ECE. My research work is in dependability in distributed systems. My adviser is Prof. Saurabh Bagchi. In this course I expect to learn classification techniques that help me in my research to detect anomalies and software errors in distributed applications.
• Hi everyone, I'm Kyuseo Han, 2nd year PhD student in CE area at ECE with Prof. Kak on computer vision. My research interests are target localization for UAV(unmanned aerial vehicle), image feature detector & descriptor, and image registration with georeferencing landmarks. The decision theory and corresponding techniques that I expect to learn in this class will give me deep insights of classification schemes based on contents of images. --Kyuseo 01:13, 26 January 2010 (UTC)
• Hi, I am Golsa, I am PhD student at ECET. It’s my first semester of studying here. My research area is satellite networks, sensor networks, Adaptive Model predictive control, modeling human body and I have been working in an oil and Gas refinery designer company for 6 months. Too different areas? I like to know about different fields. I took this class because I think it would be helpful for my recent research: sensor networks: for example we receive accelerometer and ECG signals from sensors which are attached to the patient. By processing these data we can fine patient position: walking, falling, having problem with breathing or having heart attack. This process needs decision making. I would be happy if know one of you is working in this area so we can share our findings.
• Hello classmates, I am Aaron Hershberger. I am in my last semester (hopefully) of my master's here at Purdue. I'm taking this class with the anticipation of needing this type of background for industry as I've always had an interest in radar. --Aaron
• Hello everyone! I am Hengzhou Ding, a fourth year PhD student in Electrical and Computer Engineering. My advisors are Prof. Allebach and Prof. Bouman. Through taking the course, I hope I could get a comprehensive understanding of the area of Pattern Recognition. --Hengzhou

• Hola a todos! (spanish for hi to everyone). My name is Gaspar Modelo-Howard, a PhD Computer Engineering student. Work with Prof. Saurabh Bagchi and Guy Lebanon, using machine learning techniques to (hopefully!) solve network security problems. I want to catch the bad guys (the malicious packets in a network, not terrorists) with techniques learned in this course.

• Hi everyone! This is Xujie Zhang. I am a second year PhD student. My adviser is Prof. Allebach. I work on image processing. Pattern recognition is a very important tool for my research. I hope I can learn knowledge and also make friends in this course. --- Xujie Zhang
• Hi y'all! My name is Ondrej Stava and I'm a second year PhD student from CGT with a master's from CS. Right now I work with Department of Forestry on a very interesting project where we analyze 3D CT data of wooden logs and one of the main challenges of the project is to successfully classify all kinds of inner features of the logs (defects, different kinds of wood). It is my hope that this course will allow me to better understand the theory of patter recognition that is required to successfully solve the project. --Ostava 12:10, 23 March 2010 (UTC)

• Hi,everyone! This is Zhenhao Ge. I am a second year PhD student. My adviser is Prof. Smith. I work on speech processing focusing on speech evaluation and correction. Pattern recognition is a very important toll for speech, like detecting the pattern, classifying the samples with the same or similar pronounication problems, etc. I am so glad to learn this course with all of you, and hope we all learn and benefit a lot from this course. -- Zhenhao Ge

• [Your Introduction and Expectations Here]

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