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Least angle regression
, 2004
"... The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be applied. Typically we have available a large collection of possible covariates from which we hope to s ..."
Abstract

Cited by 1326 (37 self)
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to select a parsimonious set for the efficient prediction of a response variable. Least Angle Regression (LARS), a new model selection algorithm, is a useful and less greedy version of traditional forward selection methods. Three main properties are derived: (1) A simple modification of the LARS algorithm
A computational approach to edge detection
 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1986
"... This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumpti ..."
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Cited by 4675 (0 self)
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. With this principle we derive a single operator shape which is optimal at any scale. The optimal detector has a simple approximate implementation in which edges are marked at maxima in gradient magnitude of a Gaussiansmoothed image. We extend this simple detector using operators of several widths to cope
Support vector machines: Training and applications
 A.I. MEMO 1602, MIT A. I. LAB
, 1997
"... The Support Vector Machine (SVM) is a new and very promising classification technique developed by Vapnik and his group at AT&T Bell Laboratories [3, 6, 8, 24]. This new learning algorithm can be seen as an alternative training technique for Polynomial, Radial Basis Function and MultiLayer Perc ..."
Abstract

Cited by 223 (3 self)
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Layer Perceptron classifiers. The main idea behind the technique is to separate the classes with a surface that maximizes the margin between them. An interesting property of this approach is that it is an approximate implementation of the Structural Risk Minimization (SRM) induction principle [23]. The derivation
ADIFOR  Generating Derivative Codes from Fortran Programs
, 1992
"... The numerical methods employed in the solution of many scientific computing problems require the computation of derivatives of a function f: Rn! Rm. Both the accuracy and the computational requirements of the derivative computation are usually of critical importance for the robustness and speed of ..."
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Cited by 190 (66 self)
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The numerical methods employed in the solution of many scientific computing problems require the computation of derivatives of a function f: Rn! Rm. Both the accuracy and the computational requirements of the derivative computation are usually of critical importance for the robustness and speed
Reinforcement Learning In Continuous Time and Space
 Neural Computation
, 2000
"... This paper presents a reinforcement learning framework for continuoustime dynamical systems without a priori discretization of time, state, and action. Based on the HamiltonJacobiBellman (HJB) equation for infinitehorizon, discounted reward problems, we derive algorithms for estimating value f ..."
Abstract

Cited by 176 (7 self)
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functions and for improving policies with the use of function approximators. The process of value function estimation is formulated as the minimization of a continuoustime form of the temporal difference (TD) error. Update methods based on backward Euler approximation and exponential eligibility traces
Coil sensitivity encoding for fast MRI. In:
 Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
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Cited by 193 (3 self)
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reconstruction from multiple receiver data. Using the framework of linear algebra, two different reconstruction strategies have been derived. In their general forms the resulting formulae hold for arbitrary sampling patterns in kspace. A detailed discussion is dedicated to the most practical case, namely
Intrinsic Images by Entropy Minimization
 Proc. 8th European Conf. on Computer Vision, Praque
, 2004
"... A method was recently devised for the recovery of an invariant image from a 3band colour image. The invariant image, originally 1D greyscale but here derived as a 2D chromaticity, is independent of lighting, and also has shading removed: it forms an intrinsic image that may be used as a guide in ..."
Abstract

Cited by 94 (14 self)
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A method was recently devised for the recovery of an invariant image from a 3band colour image. The invariant image, originally 1D greyscale but here derived as a 2D chromaticity, is independent of lighting, and also has shading removed: it forms an intrinsic image that may be used as a guide
QuasiNewton methods for unconstrained optimization
 J. Inst. Math. Appl
, 1972
"... Arevised algorithm is given for unconstrained optimization using quasiNewton methods. The method is based on recurring the factorization of an approximation to the Hessian matrix. Knowledge of this factorization allows greater flexibility when choosing the direction of search while minimizing the a ..."
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Cited by 64 (1 self)
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the adverse effects of rounding error. The control of rounding error is particularly important when analytical derivatives are unavailable, and a modification of the algorithm to accept finitedifference approximations to the derivatives is given. 1.
Accepted by....
, 2010
"... In this thesis, two sets of experimental studies in bosonic and fermionic gases are described. In the first part of the thesis, itinerant ferromagnetism was studied in a strongly interacting Fermi gas of ultracold atoms. The observation of nonmonotonic behavior of lifetime, kinetic energy, and size ..."
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In this thesis, two sets of experimental studies in bosonic and fermionic gases are described. In the first part of the thesis, itinerant ferromagnetism was studied in a strongly interacting Fermi gas of ultracold atoms. The observation of nonmonotonic behavior of lifetime, kinetic energy, and size
A higher order estimate of the optimum checkpoint interval for restart dumps
 Future Generation Computer Systems
, 2006
"... This paper examines methods of approximating the optimum checkpoint restart strategy for minimizing application run time on a system exhibiting Poisson single component failures. Two different models will be developed and compared. We will begin with a simplified cost function that yields a firstor ..."
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Cited by 123 (5 self)
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This paper examines methods of approximating the optimum checkpoint restart strategy for minimizing application run time on a system exhibiting Poisson single component failures. Two different models will be developed and compared. We will begin with a simplified cost function that yields a first
Results 1  10
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