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114
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DAWAK
2003
Springer
15 years 8 months ago
Comprehensive Log Compression with Frequent Patterns
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Kimmo Hätönen, Jean-François Boul...
127
Voted
TSDM
2000
151views Data Mining» more  TSDM 2000»
15 years 6 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
101
Voted
ACL
2008
15 years 4 months ago
Large Scale Acquisition of Paraphrases for Learning Surface Patterns
Paraphrases have proved to be useful in many applications, including Machine Translation, Question Answering, Summarization, and Information Retrieval. Paraphrase acquisition meth...
Rahul Bhagat, Deepak Ravichandran
111
Voted
NIPS
2007
15 years 4 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
122
Voted
CGF
2006
94views more  CGF 2006»
15 years 2 months ago
A Weighted Error Metric and Optimization Method for Antialiasing Patterns
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, a...
Samuli Laine, Timo Aila