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Final projects
, 2010
"... Each student student should select a topic, either from this document or from their own research (if approved). At the end of the semester, you should submit and prepare the following: • An extensive report on the project you have done. This report should include theoretical and practical aspects of ..."
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Each student student should select a topic, either from this document or from their own research (if approved). At the end of the semester, you should submit and prepare the following: • An extensive report on the project you have done. This report should include theoretical and practical aspects
Optional small final projects
"... The final project is an optional alternative to the takehome final exam. It involves substantially more work than the final exam, but it could be a valuable first step towards a larger research ..."
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The final project is an optional alternative to the takehome final exam. It involves substantially more work than the final exam, but it could be a valuable first step towards a larger research
Projection Pursuit Regression
 Journal of the American Statistical Association
, 1981
"... A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures, ..."
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Cited by 555 (6 self)
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A new method for nonparametric multiple regression is presented. The procedure models the regression surface as a sum of general smooth functions of linear combinations of the predictor variables in an iterative manner. It is more general than standard stepwise and stagewise regression procedures, does not require the definition of a metric in the predictor space, and lends itself to graphical interpretation.
The TSIMMIS Project: Integration of Heterogeneous Information Sources
"... The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured data. This paper gives an overview of the project, describing components that extract properties from unstructured objects, ..."
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Cited by 534 (19 self)
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The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured data. This paper gives an overview of the project, describing components that extract properties from unstructured objects
FinalProject Assignment
, 310
"... gazzilion points The goal of the final project is to create a program which can encode and decode streams of data on the fly according the SOLE algorithm. The focus will be on the backend (i.e. the correctness of your implementation) but extra points will be awarded for a nice (clean and clear) use ..."
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gazzilion points The goal of the final project is to create a program which can encode and decode streams of data on the fly according the SOLE algorithm. The focus will be on the backend (i.e. the correctness of your implementation) but extra points will be awarded for a nice (clean and clear
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
, 1997
"... We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a highdimensional space. We take advantage of the observation that the images ..."
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Cited by 2263 (18 self)
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from this linear subspace. Rather than explicitly modeling this deviation, we linearly project the image into a subspace in a manner which discounts those regions of the face with large deviation. Our projection method is based on Fisher's Linear Discriminant and produces well separated classes
The Player/Stage Project: Tools for MultiRobot and Distributed Sensor Systems
 In Proceedings of the 11th International Conference on Advanced Robotics
, 2003
"... This paper describes the Player/Stage software tools applied to multirobot, distributedrobot and sensor network systems. Player is a robot device server that provides network transparent robot control. Player seeks to constrain controller design as little as possible; it is device independent, non ..."
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Cited by 617 (14 self)
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, nonlocking and language and styleneutral. Stage is a lightweight, highly configurable robot simulator that supports large populations. Player/Stage is a community Free Software project. Current usage of Player and Stage is reviewed, and some interesting research opportunities opened up
Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
, 2004
"... Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear m ..."
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Cited by 1513 (20 self)
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Suppose we are given a vector f in RN. How many linear measurements do we need to make about f to be able to recover f to within precision ɛ in the Euclidean (ℓ2) metric? Or more exactly, suppose we are interested in a class F of such objects— discrete digital signals, images, etc; how many linear measurements do we need to recover objects from this class to within accuracy ɛ? This paper shows that if the objects of interest are sparse or compressible in the sense that the reordered entries of a signal f ∈ F decay like a powerlaw (or if the coefficient sequence of f in a fixed basis decays like a powerlaw), then it is possible to reconstruct f to within very high accuracy from a small number of random measurements. typical result is as follows: we rearrange the entries of f (or its coefficients in a fixed basis) in decreasing order of magnitude f  (1) ≥ f  (2) ≥... ≥ f  (N), and define the weakℓp ball as the class F of those elements whose entries obey the power decay law f  (n) ≤ C · n −1/p. We take measurements 〈f, Xk〉, k = 1,..., K, where the Xk are Ndimensional Gaussian
Final Project Assignment for Materials
"... For the independent project, you will write a summary, a proposal, a final report, two progress reports, and give two presentations. You will propose a study, which involves testing a material for a specific application. Examples from the past include testing golf balls, epees (fencing swords), auto ..."
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For the independent project, you will write a summary, a proposal, a final report, two progress reports, and give two presentations. You will propose a study, which involves testing a material for a specific application. Examples from the past include testing golf balls, epees (fencing swords
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