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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
CASES
2006
ACM
15 years 11 months ago
Memory optimization by counting points in integer transformations of parametric polytopes
Memory size reduction and memory accesses optimization are crucial issues for embedded systems. In the context of affine programs, these two challenges are classically tackled by ...
Rachid Seghir, Vincent Loechner
125
Voted
ARCS
2006
Springer
15 years 8 months ago
Adding Low-Cost Hardware Barrier Support to Small Commodity Clusters
The performance of the barrier operation can be crucial for many parallel codes. Especially distributed shared memory systems have to synchronize frequently to ensure the proper o...
Torsten Hoefler, Torsten Mehlan, Frank Mietke, Wol...
150
Voted
ANNS
2007
15 years 6 months ago
An improved architecture for cooperative and comparative neurons (CCNs) in neural network
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
Md. Kamrul Islam
IWMM
2004
Springer
90views Hardware» more  IWMM 2004»
15 years 10 months ago
Automatic heap sizing: taking real memory into account
Heap size has a huge impact on the performance of garbage collected applications. A heap that barely meets the application’s needs causes excessive GC overhead, while a heap tha...
Ting Yang, Matthew Hertz, Emery D. Berger, Scott F...