Results 1 - 10 of 10,088

Robust face recognition via sparse representation

by John Wright, Allen Y. Yang, Arvind Ganesh, S. Shankar Sastry, Yi Ma - IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2008
"... We consider the problem of automatically recognizing human faces from frontal views with varying expression and illumination, as well as occlusion and disguise. We cast the recognition problem as one of classifying among multiple linear regression models, and argue that new theory from sparse signa ..."
Abstract - Cited by 936 (40 self) - Add to MetaCart
is correctly computed. Unconventional features such as downsampled images and random projections perform just as well as conventional features such as Eigenfaces and Laplacianfaces, as long as the dimension of the feature space surpasses certain threshold, predicted by the theory of sparse representation

The nas parallel benchmarks

by D. H. Bailey, E. Barszcz, J. T. Barton, D. S. Browning, R. L. Carter, R. A. Fatoohi, P. O. Frederickson, T. A. Lasinski, H. D. Simon, V. Venkatakrishnan, S. K. Weeratunga - The International Journal of Supercomputer Applications , 1991
"... A new set of benchmarks has been developed for the performance evaluation of highly parallel supercomputers. These benchmarks consist of ve \parallel kernel " benchmarks and three \simulated application" benchmarks. Together they mimic the computation and data movement characterist ..."
Abstract - Cited by 694 (9 self) - Add to MetaCart
characteristics of large scale computational uid dynamics applications. The principal distinguishing feature of these benchmarks is their \pencil and paper " speci cation | all details of these benchmarks are speci ed only algorithmically. In this way many of the di culties associated with conventional

Robust Real-time Object Detection

by Paul Viola, Michael Jones - International Journal of Computer Vision , 2001
"... This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There are three key contributions. The first is the introduction of a new image representation called the “Integral Image ” which allows the features ..."
Abstract - Cited by 1184 (4 self) - Add to MetaCart
This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There are three key contributions. The first is the introduction of a new image representation called the “Integral Image ” which allows the features

Increasing Returns and Economic Geography

by Paul Krugman - Journal of Political Economy , 1991
"... This paper develops a simple model that shows how a country can endogenously become differentiated into an industrialized "core" and an agricultural "periphery. " In order to realize scale economies while minimizing transport costs, manufacturing firms tend to locate in the regio ..."
Abstract - Cited by 1811 (7 self) - Add to MetaCart
of factors of production in space-occupies a relatively small part of standard economic analysis. International trade theory, in particular, conventionally treats nations as dimensionless points (and frequently assumes zero transportation costs between countries as well). Admittedly, models descended from

Tandem connectionist feature extraction for conventional HMM systems

by Hynek Hermansky, Daniel P. W. Ellis, Sangita Sharma
"... Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of decorrelated acoustic feature vectors that correspond to individual subword units. By contrast, hybrid connectionist-HMM systems use discriminatively-trained neural networks to estim ..."
Abstract - Cited by 242 (24 self) - Add to MetaCart
Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of decorrelated acoustic feature vectors that correspond to individual subword units. By contrast, hybrid connectionist-HMM systems use discriminatively-trained neural networks

Reliable Feature Matching Across Widely Separated Views

by Adam Baumberg , 2000
"... In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional stereo matching approaches we assume no prior knowledge about the relative camera positions and orienta ..."
Abstract - Cited by 308 (0 self) - Add to MetaCart
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional stereo matching approaches we assume no prior knowledge about the relative camera positions

Self-organisation in a perceptual network

by Ralph Linsker - IEEE Computer , 1988
"... young animal or child perceives and identifies features in its envi-, roument in an apparently effortless way. No presently known algorithms even approach this flexible, generalpurpose perceptual capability. Discovering the principles that may underlie perceptual processing is important both for neu ..."
Abstract - Cited by 364 (0 self) - Add to MetaCart
young animal or child perceives and identifies features in its envi-, roument in an apparently effortless way. No presently known algorithms even approach this flexible, generalpurpose perceptual capability. Discovering the principles that may underlie perceptual processing is important both

Support Vector Machines for Classification and Regression

by Steve R. Gunn - UNIVERSITY OF SOUTHAMPTON, TECHNICAL REPORT , 1998
"... The problem of empirical data modelling is germane to many engineering applications. In empirical data modelling a process of induction is used to build up a model of the system, from which it is hoped to deduce responses of the system that have yet to be observed. Ultimately the quantity and qualit ..."
Abstract - Cited by 357 (5 self) - Add to MetaCart
for parameter selection and the statistical measures used to select the ’best’ model. The foundations of Support Vector Machines (SVM) have been developed by Vapnik (1995) and are gaining popularity due to many attractive features, and promising empirical performance. The formulation embodies the Structural

Indexing and Querying XML Data for Regular Path Expressions

by Quanzhong Li, Bongki Moon - IN VLDB , 2001
"... With the advent of XML as a standard for data representation and exchange on the Internet, storing and querying XML data becomes more and more important. Several XML query languages have been proposed, and the common feature of the languages is the use of regular path expressions to query XML ..."
Abstract - Cited by 343 (9 self) - Add to MetaCart
With the advent of XML as a standard for data representation and exchange on the Internet, storing and querying XML data becomes more and more important. Several XML query languages have been proposed, and the common feature of the languages is the use of regular path expressions to query XML

Why functional programming matters

by John Hughes - The Computer Journal , 1989
"... As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write, easy to debug, and provides a collection of modules that can be re-used to reduce future programming costs. Conventional languages place conceptual limits on the ..."
Abstract - Cited by 328 (3 self) - Add to MetaCart
As software becomes more and more complex, it is more and more important to structure it well. Well-structured software is easy to write, easy to debug, and provides a collection of modules that can be re-used to reduce future programming costs. Conventional languages place conceptual limits
Results 1 - 10 of 10,088