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IJON
2007
84views more  IJON 2007»
15 years 6 months ago
Modeling self-developing biological neural networks
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
Hugues Berry, Olivier Temam
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 1 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
FMCO
2009
Springer
120views Formal Methods» more  FMCO 2009»
15 years 4 months ago
A Framework for Reasoning on Component Composition
The main characteristics of component models is their strict structure enabling better code reuse. Correctness of component composition is well understood formally but existing wor...
Ludovic Henrio, Florian Kammüller, Muhammad U...
VLSID
2003
IEEE
253views VLSI» more  VLSID 2003»
16 years 7 months ago
High Level Synthesis from Sim-nML Processor Models
The design of modern complex embedded systems require a high level of abstraction of the design. The SimnML[1] is a specification language to model processors for such designs. Se...
Souvik Basu, Rajat Moona
ICIP
2008
IEEE
16 years 1 months ago
Incorporating known features into a total variation dictionary model for source separation
The goal of this paper is to investigate the impact of dictionary choosing for a total variation dictionary model. After theoretical analysis, we present the experiments in which ...
Tieyong Zeng