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ICML
2009
IEEE
16 years 4 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
IJON
2002
91views more  IJON 2002»
15 years 2 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
ICSE
2011
IEEE-ACM
14 years 6 months ago
Pragmatic prioritization of software quality assurance efforts
A plethora of recent work leverages historical data to help practitioners better prioritize their software quality assurance efforts. However, the adoption of this prior work in p...
Emad Shihab
CASES
2004
ACM
15 years 8 months ago
A hamming distance based VLIW/EPIC code compression technique
This paper presents and reports on a VLIW code compression technique based on vector Hamming distances [19]. It investigates the appropriate selection of dictionary vectors such t...
Montserrat Ros, Peter Sutton
HICSS
2005
IEEE
114views Biometrics» more  HICSS 2005»
15 years 8 months ago
Delta Changes for OO Software Adaptation: Pervasive or Invasive?
The ability for software products to adapt to future changes is essential. Whether the change, the delta, is prefixed to subclasses or postfixed to super classes, class hierarchie...
Atef Bader, Shangping Ren, Husein Armouti