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DICTA
2003
15 years 8 months ago
Fast Adaptive Algorithm for Time-Critical Color Quantization Application
Color quantization is the process of grouping n data points to k cluster. We proposed a new approach, based on Wu’s color quantization [6]. Our approach can significantly reduce ...
Kiattisin Kanjanawanishkul, Bunyarit Uyyanonvara
210
Voted
BMCBI
2008
138views more  BMCBI 2008»
15 years 7 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 6 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ANCS
2009
ACM
15 years 5 months ago
Divide and discriminate: algorithm for deterministic and fast hash lookups
Exact and approximate membership lookups are among the most widely used primitives in a number of network applications. Hash tables are commonly used to implement these primitive ...
Domenico Ficara, Stefano Giordano, Sailesh Kumar, ...
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
15 years 2 months ago
Distributed iterative regularization algorithms for monotone Nash games
In this paper, we consider the development of single-timescale schemes for the distributed computation of Nash equilibria. In general, equilibria associated with convex Nash games ...
Aswin Kannan, Uday V. Shanbhag