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Displaying 1-8 out of 8 total
Multi-Scale Contour Extraction Based on Natural Image Statistics
Found in: Computer Vision and Pattern Recognition Workshop
By Francisco J. Estrada, James H. Elder
Issue Date:June 2006
pp. 183
Perceptual grouping of the complete boundaries of objects in natural images remains an unsolved problem in computer vision. The computational complexity of the problem and difficulties capturing global constraints limit the performance of current algorithm...
 
Implementation and Quantitative Analysis of a Shared-Memory Based Parallel Server Architecture for Aerospace Information Exchange Applications
Found in: Computer Science and Information Engineering, World Congress on
By A. Alegre, S. Beltran, J. Estrada, A. Milshteyn, C. Liu, H. Boussalis
Issue Date:April 2009
pp. 359-363
This paper focuses on the implementation and quantitative analysis of a high-performance parallel processing aerospace information server. An innovative model of software architecture is provided to effectively utilize the computational power of a parallel...
 
Robust Boundary DetectionWith Adaptive Grouping
Found in: Computer Vision and Pattern Recognition Workshop
By Francisco J. Estrada, Allan D. Jepson
Issue Date:June 2006
pp. 184
This paper presents a perceptual grouping algorithm that performs boundary extraction on natural images. Our grouping method maintains and updates a model of the appearance of the image regions on either side of a growing contour. This model is used to cha...
 
Quantitative Evaluation of a Novel Image Segmentation Algorithm
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Francisco J. Estrada, Allan D. Jepson
Issue Date:June 2005
pp. 1132-1139
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segmentation Database as ground truth and propose suitable measures to evaluate segm...
 
Perceptual Grouping for Contour Extraction
Found in: Pattern Recognition, International Conference on
By Francisco J. Estrada, Allan D. Jepson
Issue Date:August 2004
pp. 32-35
This paper describes an algorithm that efficiently groups line segments into perceptually salient contours in complex images. A measure of affinity between pairs of lines is used to guide group formation and limit the branching factor of the contour search...
 
Building Reliable and Secure Virtual Machines Using Architectural Invariants
Found in: IEEE Security & Privacy
By Cuong Pham,Zachary J. Estrada,Phuong Cao,Zbigniew Kalbarczyk,Ravishankar K. Iyer
Issue Date:September 2014
pp. 82-85
HyperTap is a hypervisor-level monitoring framework for virtual machines (VMs). It uses hardware architectural invariants properties defined and enforced by a hardware platform to establish the root of trust for logging data and events. HyperTap also suppo...
 
A Performance Evaluation of Sequence Alignment Software in Virtualized Environments
Found in: 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
By Zachary J. Estrada,Zachary Stephens,Cuong Pham,Zbigniew Kalbarczyk,Ravishankar K. Iyer
Issue Date:May 2014
pp. 730-737
The prospect of simpler infrastructure management and affordability has garnered interest in cloud computing from bioinformaticians. However, the performance cost of adopting such an infrastructure model for bioinformatics is not fully known. In an effort ...
 
Ranking of evolving stories through meta-aggregation
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Francisco J. Estrada, Hyun Chul Lee, Johann Gamper, Juozas Gordevicius, Periklis Andritsos
Issue Date:October 2010
pp. 1909-1912
In this paper we focus on the problem of ranking news stories within their historical context by exploiting their content similarity. We observe that news stories evolve and thus have to be ranked in a time and query dependent manner. We do this in two ste...
     
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