My scientific interests include: large-scale machine learning and pattern recognition, basketball, numerical optimization, and eating pizza with friends.
Friday, December 12, 2008
Tuesday, August 26, 2008
EE 5372 Image Processing
Signal processing theory and techniques is the base for the image processing, and video processing. Traditional image processing always expect a result for the application of the traditional algorithms such as: image enhancement, denoise, contrast, etc.
However, as introduced by Dr. Cabrera, in this course we will see a more advanced an deep understanding of the mathematical concepts that involve image analysis, transformation, compression, without necessarily see a visual output.
I took a DIP (digital image processing) course on my masters degree, and we based the course on the Gonzalez book, therefore, I got used to a notation: I(x,y), to refer to an image with x rows and y columns. Apparently, in this course the author introduces a different notation: x(n1, n2), which is very similar to the signal processing notation: x(n). This is obviously in the discrete domain. See the picture of the notation, and an example of graphical representation. This is very different from MATLAB representation, and from Gonzalez book.
However, as introduced by Dr. Cabrera, in this course we will see a more advanced an deep understanding of the mathematical concepts that involve image analysis, transformation, compression, without necessarily see a visual output.
I took a DIP (digital image processing) course on my masters degree, and we based the course on the Gonzalez book, therefore, I got used to a notation: I(x,y), to refer to an image with x rows and y columns. Apparently, in this course the author introduces a different notation: x(n1, n2), which is very similar to the signal processing notation: x(n). This is obviously in the discrete domain. See the picture of the notation, and an example of graphical representation. This is very different from MATLAB representation, and from Gonzalez book.
EE 5390 /16644 Biomedical Imaging and Imaging Informatics
Nobel prizes, and very promising research topics for science/engineering students, is what one can achieve if directed, trained, and experimented over the Biomedical Imaging and Imaging Informatics field. Take a look at this video that shows a clear application of Biomedical Imaging: The Cancer.
Here are some other videos shown in class on line:
http://uwf.edu/sahls/courses/hsa5197/CourseOverview/Mod1/Introduction%20To%20Medical%20Informatics/player.html
and:
Today we were introduced to this field. And also the professor gave us the syllabus.
Here are some other videos shown in class on line:
http://uwf.edu/sahls/courses/hsa5197/CourseOverview/Mod1/Introduction%20To%20Medical%20Informatics/player.html
and:
Today we were introduced to this field. And also the professor gave us the syllabus.
Monday, June 09, 2008
Friday, May 09, 2008
NASA offers $17000 for you to lie in bed for 90 days
My new career has arrived!
NASA is conducting an experiment for get more information of the human reaction on gravity zero, and its effects on the human physical and mental health. Read more...
Monday, April 28, 2008
New P2P 10G Ethernet Wireless System
The TereScope® TS-10GE is a system introduced by a leader in optical networking products: MRV Communications, Inc. This system is the first wireless 10-Gigabit Ethernet system designed at the industry. It has been named as one of the Best of Interop Finalist in the Wireless and Mobility category. TereScope provides a cost-effective and high-bandwidth wireless solution for all the industry and the enterprise, extending backbone networks between multiple buildings without a need for sophisticated antenna arrays, rights-of-way or a fiber-optic cable plant. Read more.
Monday, April 14, 2008
Thursday, January 31, 2008
UTEP Admission Letter
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