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BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
ACSAC
2010
IEEE
13 years 5 months ago
Fast and practical instruction-set randomization for commodity systems
Instruction-set randomization (ISR) is a technique based on randomizing the "language" understood by a system to protect it from code-injection attacks. Such attacks wer...
Georgios Portokalidis, Angelos D. Keromytis
VIS
2008
IEEE
135views Visualization» more  VIS 2008»
14 years 9 months ago
Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantif...
Markus Hadwiger, Laura Fritz, Christof Rezk-Sala...
ICCAD
2002
IEEE
92views Hardware» more  ICCAD 2002»
14 years 4 months ago
ECO algorithms for removing overlaps between power rails and signal wires
Design ECO commonly happens in industry due to constraints or target changes from manufacturing, marketing, reliability, or performance. At each step, designers usually want to mo...
Hua Xiang, Kai-Yuan Chao, D. F. Wong
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
14 years 2 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava