• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 8,739
Next 10 →

Shiftable Multi-scale Transforms

by Eero Simoncelli, William T. Freeman, Edward H. Adelson, David J. Heeger , 1992
"... Orthogonal wavelet transforms have recently become a popular representation for multiscale signal and image analysis. One of the major drawbacks of these representations is their lack of translation invariance: the content of wavelet subbands is unstable under translations of the input signal. Wavel ..."
Abstract - Cited by 562 (36 self) - Add to MetaCart
lack of aliasing; thus, the conditions under which the property holds are specified by the sampling theorem. Shiftability may also be considered in the context of other domains, particularly orientation and scale. We explore "jointly shiftable" transforms that are simultaneously shiftable

A comparison and evaluation of multi-view stereo reconstruction algorithms.

by Steven M Seitz , Brian Curless , James Diebel , Daniel Scharstein , Richard Szeliski - In Proc. Computer Vision and Pattern Recognition ’06, , 2006
"... Abstract This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has prevented such direct comparisons. In this paper, we first survey multi-v ..."
Abstract - Cited by 530 (14 self) - Add to MetaCart
Abstract This paper presents a quantitative comparison of several multi-view stereo reconstruction algorithms. Until now, the lack of suitable calibrated multi-view image datasets with known ground truth (3D shape models) has prevented such direct comparisons. In this paper, we first survey multi

How Iris Recognition Works

by John Daugman , 2003
"... Algorithms developed by the author for recogniz-ing persons by their iris patterns have now been tested in six field and laboratory trials, producing no false matches in several million comparison tests. The recognition principle is the failure of a test of statis-tical independence on iris phase st ..."
Abstract - Cited by 509 (4 self) - Add to MetaCart
with extremely high confidence. The high confidence levels are important because they al-low very large databases to be searched exhaustively (one-to-many “identification mode”) without making any false matches, despite so many chances. Biomet-rics lacking this property can only survive one-to-one (“verification

Trace Scheduling: A Technique for Global Microcode Compaction

by Joseph A. Fisher - IEEE TRANSACTIONS ON COMPUTERS , 1981
"... Microcode compaction is the conversion of sequential microcode into efficient parallel (horizontal) microcode. Local com-paction techniques are those whose domain is basic blocks of code, while global methods attack code with a general flow control. Compilation of high-level microcode languages int ..."
Abstract - Cited by 683 (5 self) - Add to MetaCart
with a broad overview of the program. Important operations are given priority, no matter what their source block was. This is in sharp contrast with earlier methods, which compact one block at a time and then attempt iterative improvement. It is argued that those methods suffer from the lack

Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations

by Jure Leskovec, Jon Kleinberg, Christos Faloutsos , 2005
"... How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and information networks? Many studies have discovered patterns in static graphs, identifying properties in a single snapshot of a large network, or in a very small number of snapshots; these include hea ..."
Abstract - Cited by 541 (48 self) - Add to MetaCart
How do real graphs evolve over time? What are “normal” growth patterns in social, technological, and information networks? Many studies have discovered patterns in static graphs, identifying properties in a single snapshot of a large network, or in a very small number of snapshots; these include

Toward an instance theory of automatization

by Gordon D. Logan - Psychological Review , 1988
"... This article presents a theory in which automatization is construed as the acquisition of a domain-specific knowledge base, formed of separate representations, instances, of each exposure to the task. Processing is considered automatic if it relies on retrieval of stored instances, which will occur ..."
Abstract - Cited by 647 (38 self) - Add to MetaCart
-up and predicts a power-function reduction in the standard deviation that is constrained to have the same exponent as the power function for the speed-up. The theory accounts for qualitative properties as well, explaining how some may disappear and others appear with practice. More generally, it provides

HSF4, a new member of human heat shock factor family which lacks properties of a transcriptional activator

by A Nakai, M Tanabe, Y Kawazoe, J Inazawa, R I Morimoto, Mol Cell Biol, Akira Nakai, Masako Tanabe, Yoshinori Kawazoe, Johji Inazawa, Richard I. Morimoto, Kazuhiro Nagata - Mol. Cell. Biol , 1997
"... HSF4, a new member of the human heat shock factor family which lacks properties of a transcriptional activator. ..."
Abstract - Cited by 50 (8 self) - Add to MetaCart
HSF4, a new member of the human heat shock factor family which lacks properties of a transcriptional activator.

Complex wavelets for shift invariant analysis and filtering of signals

by Nick Kingsbury - J. Applied and Computational Harmonic Analysis , 2001
"... This paper describes a form of discrete wavelet transform, which generates complex coefficients by using a dual tree of wavelet filters to obtain their real and imaginary parts. This introduces limited redundancy (2m: 1 for m-dimensional signals) and allows the transform to provide approximate shift ..."
Abstract - Cited by 384 (40 self) - Add to MetaCart
shift invariance and directionally selective filters (properties lacking in the traditional wavelet transform) while preserving the usual properties of perfect reconstruction and computational efficiency with good well-balanced frequency responses. Here we analyze why the new transform can be designed

Fixing the Java memory model

by Jeremy Manson, William Pugh, Sarita V. Adve, Jeremy Manson - In ACM Java Grande Conference , 1999
"... This paper describes the new Java memory model, which has been revised as part of Java 5.0. The model specifies the legal behaviors for a multithreaded program; it defines the semantics of multithreaded Java programs and partially determines legal implementations of Java virtual machines and compile ..."
Abstract - Cited by 385 (10 self) - Add to MetaCart
. The causality requirement is strong enough to respect the safety and security properties of Java and weak enough to allow standard compiler and hardware optimizations. To our knowledge, other models are either too weak because they do not provide for sufficient safety/security, or are too strong because

Confirmation, Disconfirmation, and Information in Hypothesis Testing

by Joshua Klayman, Young-won Ha , 1987
"... Strategies for hypothesis testing in scientific investigation and everyday reasoning have interested both psychologists and philosophers. A number of these scholars stress the importance of disconnrmation in reasoning and suggest that people are instead prone to a general deleterious "confirmat ..."
Abstract - Cited by 333 (0 self) - Add to MetaCart
in terms of a general positive test strategy. With this strategy, there is a tendency to test cases that are expected (or known) to have the property of interest rather than those expected (or known) to lack that property. This strategy is not equivalent to confirmation bias in the first sense; we show
Next 10 →
Results 1 - 10 of 8,739
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University