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ECCV
2006
Springer
16 years 5 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
150
Voted
DAC
2008
ACM
16 years 4 months ago
Statistical modeling and simulation of threshold variation under dopant fluctuations and line-edge roughness
The threshold voltage (Vth) of a nanoscale transistor is severely affected by random dopant fluctuations and line-edge roughness. The analysis of these effects usually requires at...
Yun Ye, Frank Liu, Sani R. Nassif, Yu Cao
DAC
2007
ACM
16 years 4 months ago
Fast Second-Order Statistical Static Timing Analysis Using Parameter Dimension Reduction
The ability to account for the growing impacts of multiple process variations in modern technologies is becoming an integral part of nanometer VLSI design. Under the context of ti...
Zhuo Feng, Peng Li, Yaping Zhan
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
15 years 10 months ago
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)
Anomalous windows are the contiguous groupings of data points. In this paper, we propose an approach for discovering anomalous windows using Scan Statistics for Linear Intersectin...
Lei Shi, Vandana Pursnani Janeja
154
Voted
ICDCS
2008
IEEE
15 years 10 months ago
Resource Bundles: Using Aggregation for Statistical Wide-Area Resource Discovery and Allocation
Resource discovery is an important process for finding suitable nodes that satisfy application requirements in large loosely-coupled distributed systems. Besides inter-node heter...
Michael Cardosa, Abhishek Chandra