Results 1 - 10 of 1,410

Wide-area cooperative storage with CFS

by Frank Dabek, M. Frans Kaashoek, David Karger, Robert Morris, Ion Stoica , 2001
"... The Cooperative File System (CFS) is a new peer-to-peer readonly storage system that provides provable guarantees for the efficiency, robustness, and load-balance of file storage and retrieval. CFS does this with a completely decentralized architecture that can scale to large systems. CFS servers pr ..."
Abstract - Cited by 999 (53 self) - Add to MetaCart
that CFS is scalable: with 4,096 servers, looking up a block of data involves contacting only seven servers. The tests also demonstrate nearly perfect robustness and unimpaired performance even when as many as half the servers fail.

Histograms of Oriented Gradients for Human Detection

by Navneet Dalal, Bill Triggs - In CVPR , 2005
"... We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly out ..."
Abstract - Cited by 3735 (9 self) - Add to MetaCart
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient based descriptors, we show experimentally that grids of Histograms of Oriented Gradient (HOG) descriptors significantly

Blind Beamforming for Non Gaussian Signals

by Jean-François Cardoso, Antoine Souloumiac - IEE Proceedings-F , 1993
"... This paper considers an application of blind identification to beamforming. The key point is to use estimates of directional vectors rather than resorting to their hypothesized value. By using estimates of the directional vectors obtained via blind identification i.e. without knowing the arrray mani ..."
Abstract - Cited by 719 (31 self) - Add to MetaCart
manifold, beamforming is made robust with respect to array deformations, distortion of the wave front, pointing errors, etc ... so that neither array calibration nor physical modeling are necessary. Rather surprisingly, `blind beamformers' may outperform `informed beamformers' in a plausible

Income and Wealth Heterogeneity in the Macroeconomy,

by Per Krusell , Anthony A Smith Jr , Mark Huggett , Robert Lucas , Víctor Ríos-Rull , Tom Sargent , José Scheinkman , Chris Telmer , Stan Zin - Journal of Political Economy , 1998
"... How do movements in the distribution of income and wealth affect the macroeconomy? We analyze this question using a calibrated version of the stochastic growth model with partially uninsurable idiosyncratic risk and movements in aggregate productivity. Our main finding is that, in the stationary st ..."
Abstract - Cited by 678 (11 self) - Add to MetaCart
stochastic equilibrium, the behavior of the macroeconomic aggregates can be almost perfectly described using only the mean of the wealth distribution. This result is robust to substantial changes in both parameter values and model specification. Our benchmark model, whose only difference from

Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

by Rafael A Irizarry , Bridget Hobbs , Francois Collin , Yasmin D Beazer-Barclay , Kristen J Antonellis , Uwe Scherf , Terence P Speed - Biostatistics, , 2003
"... SUMMARY In this paper we report exploratory analyses of high-density oligonucleotide array data from the Affymetrix GeneChip R system with the objective of improving upon currently used measures of gene expression. Our analyses make use of three data sets: a small experimental study consisting of f ..."
Abstract - Cited by 854 (33 self) - Add to MetaCart
familiar features of the perfect match and mismatch probe (P M and M M) values of these data, and examine the variance-mean relationship with probe-level data from probes believed to be defective, and so delivering noise only. We explain why we need to normalize the arrays to one another using probe level

Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data

by Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler , 2000
"... Motivation: DNA microarray experiments generating thousands of gene expression measurements, are being used to gather information from tissue and cell samples regarding gene expression differences that will be useful in diagnosing disease. We have developed a new method to analyse this kind of data ..."
Abstract - Cited by 569 (1 self) - Add to MetaCart
, and other normal tissues. The dataset consists of expression experiment results for 97 802 cDNAs for each tissue. As a result of computational analysis, a tissue sample is discovered and confirmed to be wrongly labeled. Upon correction of this mistake and the removal of an outlier, perfect classification

Learning in Extensive-Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Term

by Alvin E. Roth, Ido Erev - GAMES AND ECONOMIC BEHAVIOR 8, 164--212 (1995) , 1995
"... We use simple learning models to track the behavior observed in experiments concerning three extensive form games with similar perfect equilibria. In only two of the games does observed behavior approach the perfect equilibrium as players gain experience. We examine a family of learning models which ..."
Abstract - Cited by 358 (15 self) - Add to MetaCart
We use simple learning models to track the behavior observed in experiments concerning three extensive form games with similar perfect equilibria. In only two of the games does observed behavior approach the perfect equilibrium as players gain experience. We examine a family of learning models

Prices and unit labor costs: A new test of price stickiness

by Argia M. Sbordone , 1999
"... This paper investigates the predictions of a simple optimizing model of nominal price rigidity for the aggregate price level and the dynamics of inflation. I compare the model’s predictions with those of a perfectly competitive, flexible price ‘benchmark’ model (corresponding to the model of pricing ..."
Abstract - Cited by 356 (11 self) - Add to MetaCart
This paper investigates the predictions of a simple optimizing model of nominal price rigidity for the aggregate price level and the dynamics of inflation. I compare the model’s predictions with those of a perfectly competitive, flexible price ‘benchmark’ model (corresponding to the model

PLANT- AND FIRM-LEVEL EVIDENCE ON “NEW” TRADE THEORIES

by James R. Tybout , 2001
"... By relaxing the assumption of perfect competition, the “new” trade theory has generated a rich body of predictions concerning the effects of commercial policy on price-cost mark-ups, firm sizes, exports, productivity and profitability among domestic producers. This paper critically assesses the plan ..."
Abstract - Cited by 256 (3 self) - Add to MetaCart
By relaxing the assumption of perfect competition, the “new” trade theory has generated a rich body of predictions concerning the effects of commercial policy on price-cost mark-ups, firm sizes, exports, productivity and profitability among domestic producers. This paper critically assesses

Get Another Label? Improving Data Quality and Data Mining Using Multiple, Noisy Labelers

by Victor S. Sheng, Foster Provost, Panagiotis G. Ipeirotis
"... This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement (or lack thereof) in data quality via repeated labeling, and focus especially on the improvement of training labels for supervised induction. With the outsourcing of smal ..."
Abstract - Cited by 252 (12 self) - Add to MetaCart
. (iii) As soon as the cost of processing the unlabeled data is not free, even the simple strategy of labeling everything multiple times can give considerable advantage. (iv) Repeatedly labeling a carefully chosen set of points is generally preferable, and we present a robust technique that combines
Results 1 - 10 of 1,410