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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
98
Voted
ACL
2008
15 years 3 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
NIPS
2007
15 years 3 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
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
ALIFE
1998
15 years 2 months ago
Emergence of Multicellular Organisms with Dynamic Differentiation and Spatial Pattern
The origin of multicellular organisms and the mechanism of development in cell societies are studied by choosing a model with intracellular biochemical dynamics allowing for oscill...
Chikara Furusawa, Kunihiko Kaneko