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» Challenges in Building Very Large Teams
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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
14 years 16 days ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
ICCV
2011
IEEE
12 years 9 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
DAC
1999
ACM
14 years 1 months ago
Panel: What is the Proper System on Chip Design Methodology
ion model or flexible PCB solutions cannot offer a valid solution for the next millinium SoCs . James G. Dougherty, Integrated Systems Silicon LTD, Belfast, Northern Ireland ISS an...
Richard Goering, Pierre Bricaud, James G. Doughert...
BMCBI
2007
136views more  BMCBI 2007»
13 years 9 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
14 years 1 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li