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» INSPIRE: A New Method of Mapping Information Spaces
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UPP
2004
Springer
15 years 11 months ago
From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter
Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Klaus-Peter Zauner
SCALESPACE
2009
Springer
16 years 21 days ago
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...
Christoph Brune, Alex Sawatzky, Martin Burger
APVIS
2010
15 years 7 months ago
Volume visualization based on statistical transfer-function spaces
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...
BMCBI
2010
214views more  BMCBI 2010»
15 years 6 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 3 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar