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PAMI
2008
162views more  PAMI 2008»
13 years 8 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
ESANN
2007
13 years 10 months ago
A supervised learning approach based on STDP and polychronization in spiking neuron networks
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
Hélène Paugam-Moisy, Régis Ma...
APPROX
2000
Springer
107views Algorithms» more  APPROX 2000»
14 years 1 months ago
Online real-time preemptive scheduling of jobs with deadlines
In this paper, we derive bounds on performance guarantees of online algorithms for real-time preemptive scheduling of jobs with deadlines on K machines when jobs are characterized ...
Bhaskar DasGupta, Michael A. Palis
ECRTS
2004
IEEE
14 years 25 days ago
On Energy-Constrained Real-Time Scheduling
In this paper, we explore the feasibility and performance optimization problems for real-time systems that must remain functional during an operation/mission with a fixed, initial...
Tarek A. AlEnawy, Hakan Aydin