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...
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...
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...
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...
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...