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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 8 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
NPAR
2004
ACM
14 years 28 days ago
Image and video based painterly animation
ssionism”, (bottom row) “Abstract”, “Pointillism”, “Flower” and “Abstract” styles. Figure 3 shows some of the brush strokes used. We present techniques for trans...
James Hays, Irfan A. Essa
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Extended morphological processing: a practical method for automatic spot detection of biological markers from microscopic images
Background: A reliable extraction technique for resolving multiple spots in light or electron microscopic images is essential in investigations of the spatial distribution and dyn...
Yoshitaka Kimori, Norio Baba, Nobuhiro Morone
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 12 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
CSMR
2004
IEEE
13 years 11 months ago
Supporting Architectural Restructuring by Analyzing Feature Models
In order to lower the risk, reengineering projects aim at high reuse rates. Therefore, tasks like architectural restructuring have to be performed in a way that developed new syst...
Ilian Pashov, Matthias Riebisch, Ilka Philippow