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Learning low-level vision

by William T. Freeman, Egon C. Pasztor - International Journal of Computer Vision , 2000
"... We show a learning-based method for low-level vision problems. We set-up a Markov network of patches of the image and the underlying scene. A factorization approximation allows us to easily learn the parameters of the Markov network from synthetic examples of image/scene pairs, and to e ciently prop ..."
Abstract - Cited by 579 (30 self) - Add to MetaCart
propagate image information. Monte Carlo simulations justify this approximation. We apply this to the \super-resolution " problem (estimating high frequency details from a low-resolution image), showing good results. For the motion estimation problem, we show resolution of the aperture problem

Progressive Meshes

by Hugues Hoppe
"... Highly detailed geometric models are rapidly becoming commonplace in computer graphics. These models, often represented as complex triangle meshes, challenge rendering performance, transmission bandwidth, and storage capacities. This paper introduces the progressive mesh (PM) representation, a new s ..."
Abstract - Cited by 1315 (11 self) - Add to MetaCart
scheme for storing and transmitting arbitrary triangle meshes. This efficient, lossless, continuous-resolution representation addresses several practical problems in graphics: smooth geomorphing of level-of-detail approximations, progressive transmission, mesh compression, and selective refinement

Distortion invariant object recognition in the dynamic link architecture

by Martin Lades, Jan C. Vorbrüggen, Joachim Buhmann, Christoph v. d. Malsburg, Rolf P. Würtz, Wolfgang Konen - IEEE TRANSACTIONS ON COMPUTERS , 1993
"... We present an object recognition system based on the Dynamic Link Architecture, which is an extension to classical Artificial Neural Networks. The Dynamic Link Architecture ex-ploits correlations in the fine-scale temporal structure of cellular signals in order to group neurons dynamically into hig ..."
Abstract - Cited by 637 (80 self) - Add to MetaCart
into higher-order entities. These entities represent a very rich structure and can code for high level objects. In order to demonstrate the capabilities of the Dynamic Link Architecture we implemented a program that can recognize human faces and other objects from video images. Memorized objects

Dynamo: amazon’s highly available key-value store

by Giuseppe DeCandia, Deniz Hastorun, Madan Jampani, Gunavardhan Kakulapati, Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Peter Vosshall, Werner Vogels - IN PROC. SOSP , 2007
"... Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in the world; even the slightest outage has significant financial consequences and impacts customer trust. The Amazon.com platform, which provides services for many web sites ..."
Abstract - Cited by 684 (0 self) - Add to MetaCart
the reliability and scalability of the software systems. This paper presents the design and implementation of Dynamo, a highly available key-value storage system that some of Amazon’s core services use to provide an “always-on ” experience. To achieve this level of availability, Dynamo sacrifices consistency

Human DNA methylomes at base resolution show widespread epigenomic differences.

by Ryan Lister , Mattia Pelizzola , Robert H Dowen , R David Hawkins , Gary Hon , Julian Tonti-Filippini , Joseph R Nery , Leonard Lee , Zhen Ye , Que-Minh Ngo , Lee Edsall , Jessica Antosiewicz-Bourget , Ron Stewart , Victor Ruotti , A Harvey Millar , James A Thomson , Bing Ren , Joseph R Ecker - Nature, , 2009
"... DNA cytosine methylation is a central epigenetic modification that has essential roles in cellular processes including genome regulation, development and disease. Here we present the first genome-wide, single-base-resolution maps of methylated cytosines in a mammalian genome, from both human embryo ..."
Abstract - Cited by 401 (6 self) - Add to MetaCart
DNA cytosine methylation is a central epigenetic modification that has essential roles in cellular processes including genome regulation, development and disease. Here we present the first genome-wide, single-base-resolution maps of methylated cytosines in a mammalian genome, from both human

Protein structure prediction and structural genomics

by David Baker, Andrej Sali - Science , 2001
"... Genome sequencing projects are producing linear amino acid sequences, but full understanding of the biological role of these proteins will require knowledge of their structure and function. Although experimental structure determination methods are providing high-resolution structure information abou ..."
Abstract - Cited by 332 (14 self) - Add to MetaCart
Genome sequencing projects are producing linear amino acid sequences, but full understanding of the biological role of these proteins will require knowledge of their structure and function. Although experimental structure determination methods are providing high-resolution structure information

Real-Time, Continuous Level of Detail Rendering of Height Fields

by Peter Lindstrom , David Koller, William Ribarsky, Larry F. Hodges, Nick Faust, Gregory A. Turner , 1996
"... We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid representation, and employs a variable screen-space threshold to bound the maximum error of the projected image. A coarse lev ..."
Abstract - Cited by 296 (15 self) - Add to MetaCart
We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid representation, and employs a variable screen-space threshold to bound the maximum error of the projected image. A coarse

High-Level Modeling and Analysis of TCAS

by Carolos Livadas, John Lygeros, Nancy A. Lynch , 1999
"... In this paper, we demonstrate a high-level approach to modeling and analyzing complex safety-critical systems through a case study in the area of air traffic management. In particular, we focus our attention on the Traffic Alert and Collision Avoidance System (TCAS) [11, 12]; an on-board conflict de ..."
Abstract - Cited by 35 (7 self) - Add to MetaCart
In this paper, we demonstrate a high-level approach to modeling and analyzing complex safety-critical systems through a case study in the area of air traffic management. In particular, we focus our attention on the Traffic Alert and Collision Avoidance System (TCAS) [11, 12]; an on-board conflict

Resolution-like theorem proving for high-level conditions

by Karl-heinz Pennemann - In Proc. Graph Transformations (ICGT 2008 , 2008
"... Abstract. The tautology problem is the problem to prove the validity of statements. In this paper, we present a calculus for this undecidable problem on graphical conditions, prove its soundness, investigate the necessity of each deduction rule, and discuss practical aspects concerning an implementa ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
an implementation. As we use the framework of weak adhesive HLR categories, the calculus is applicable to a number of replacement capable structures, such as Petri-Nets, graphs or hypergraphs. Key words: first-order tautology problem, high-level conditions, theo-rem proving, resolution, weak adhesive HLR categories

Distracted and confused? Selective attention under load

by Nilli Lavie - Trends in Cognitive Sciences , 2008
"... The ability to remain focused on goal-relevant stimuli in the presence of potentially interfering distractors is crucial for any coherent cognitive function. However, simply instructing people to ignore goal-irrelevant stimuli is not sufficient for preventing their processing. Recent research reveal ..."
Abstract - Cited by 237 (13 self) - Add to MetaCart
reveals that distractor processing depends critically on the level and type of load involved in the processing of goal-relevant information. Whereas high perceptual load can eliminate distractor processing, high load on ‘frontal ’ cognitive control processes increases distractor processing. These findings
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