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6,625
Greedy Function Approximation: A Gradient Boosting Machine
 Annals of Statistics
, 2000
"... Function approximation is viewed from the perspective of numerical optimization in function space, rather than parameter space. A connection is made between stagewise additive expansions and steepest{descent minimization. A general gradient{descent \boosting" paradigm is developed for additi ..."
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Cited by 1000 (13 self)
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Function approximation is viewed from the perspective of numerical optimization in function space, rather than parameter space. A connection is made between stagewise additive expansions and steepest{descent minimization. A general gradient{descent \boosting" paradigm is developed
Estimating the Support of a HighDimensional Distribution
, 1999
"... Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a "simple" subset S of input space such that the probability that a test point drawn from P lies outside of S is bounded by some a priori specified between 0 and 1. We propo ..."
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Cited by 783 (29 self)
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of the weight vector in an associated feature space. The expansion coefficients are found by solving a quadratic programming problem, which we do by carrying out sequential optimization over pairs of input patterns. We also provide a preliminary theoretical analysis of the statistical performance of our
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
 International Journal of Computer Vision
, 2001
"... In this paper, we propose a computational model of the recognition of real world scenes that bypasses the segmentation and the processing of individual objects or regions. The procedure is based on a very low dimensional representation of the scene, that we term the Spatial Envelope. We propose a se ..."
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Cited by 1313 (81 self)
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set of perceptual dimensions (naturalness, openness, roughness, expansion, ruggedness) that represent the dominant spatial structure of a scene. Then, we show that these dimensions may be reliably estimated using spectral and coarsely localized information. The model generates a multidimensional space
Sparse coding with an overcomplete basis set: a strategy employed by V1
 Vision Research
, 1997
"... The spatial receptive fields of simple cells in mammalian striate cortex have been reasonably well described physiologically and can be characterized as being localized, oriented, and ban@ass, comparable with the basis functions of wavelet transforms. Previously, we have shown that these receptive f ..."
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Cited by 958 (9 self)
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field properties may be accounted for in terms of a strategy for producing a sparse distribution of output activity in response to natural images. Here, in addition to describing this work in a more expansive fashion, we examine the neurobiological implications of sparse coding. Of particular interest
Perturbative gauge theory as a string theory in twistor space
 COMMUN. MATH. PHYS
, 2003
"... Perturbative scattering amplitudes in YangMills theory have many unexpected properties, such as holomorphy of the maximally helicity violating amplitudes. To interpret these results, we Fourier transform the scattering amplitudes from momentum space to twistor space, and argue that the transformed ..."
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Cited by 385 (1 self)
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amplitudes are supported on certain holomorphic curves. This in turn is apparently a consequence of an equivalence between the perturbative expansion of N = 4 super YangMills theory and the Dinstanton expansion of a certain string theory, namely the topological B model whose target space is the Calabi
PATH PLANNING IN EXPANSIVE CONFIGURATION SPACES
, 1999
"... We introduce the notion of expansiveness to characterize a family of robot configuration spaces whose connectivity can be effectively captured by a roadmap of randomlysampled milestones. The analysis of expansive configuration spaces has inspired us to develop a new randomized planning algorithm. ..."
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Cited by 264 (30 self)
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We introduce the notion of expansiveness to characterize a family of robot configuration spaces whose connectivity can be effectively captured by a roadmap of randomlysampled milestones. The analysis of expansive configuration spaces has inspired us to develop a new randomized planning algorithm
The WorldWide Web
 Communications of the ACM
, 1994
"... Abstract BernersLee, T.J., R. Cailliau and J.F. Groff, The worldwide web, Computer Networks and ISDN Systems 25 (1992) 454459. This paper describes the WorldWide Web (W3) global information system initiative, its protocols and data formats, and how it is used in practice. It discusses the plet ..."
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Cited by 334 (0 self)
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the plethora of different but similar information systems which exist, and how the web unifies them, creating a single information space. We describe the difficulties of information sharing between colleagues, and the basic W3 model of hypertext and searchable indexes. We list the protocols used by W3
BoseEinstein Condensation in a Gas of Sodium Atoms
, 1995
"... We have observed BoseEinstein condensation of sodium atoms. The atoms were trapped in a novel trap that employed both magnetic and optical forces. Evaporative cooling increased the phasespace density by 6 orders of magnitude within seven seconds. Condensates contained up to 5 3 10 5 atoms at dens ..."
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Cited by 282 (6 self)
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We have observed BoseEinstein condensation of sodium atoms. The atoms were trapped in a novel trap that employed both magnetic and optical forces. Evaporative cooling increased the phasespace density by 6 orders of magnitude within seven seconds. Condensates contained up to 5 3 10 5 atoms
Wavelet Thresholding via a Bayesian Approach
 J. R. STATIST. SOC. B
, 1996
"... We discuss a Bayesian formalism which gives rise to a type of wavelet threshold estimation in nonparametric regression. A prior distribution is imposed on the wavelet coefficients of the unknown response function, designed to capture the sparseness of wavelet expansion common to most applications. ..."
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Cited by 262 (33 self)
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We discuss a Bayesian formalism which gives rise to a type of wavelet threshold estimation in nonparametric regression. A prior distribution is imposed on the wavelet coefficients of the unknown response function, designed to capture the sparseness of wavelet expansion common to most applications
Lost in quantization: Improving particular object retrieval in large scale image databases
 In CVPR
, 2008
"... The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local regions of images are characterized using highdimensional descriptors which are then mapped to “visual words ” selected ..."
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Cited by 253 (8 self)
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space. We describe how this representation may be incorporated into a standard tfidf architecture, and how spatial verification is modified in the case of this softassignment. We evaluate our method on the standard Oxford Buildings dataset, and introduce a new dataset for evaluation. Our results
Results 1  10
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6,625