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» Learning to use episodic memory
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AUSAI
2008
Springer
13 years 11 months ago
Character Recognition Using Hierarchical Vector Quantization and Temporal Pooling
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...
IISWC
2008
IEEE
14 years 3 months ago
Accelerating multi-core processor design space evaluation using automatic multi-threaded workload synthesis
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Clay Hughes, Tao Li
SADM
2010
128views more  SADM 2010»
13 years 7 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
ICCD
2005
IEEE
135views Hardware» more  ICCD 2005»
14 years 6 months ago
Extended Forward Implications and Dual Recurrence Relations to Identify Sequentially Untestable Faults
In this paper, we make two major contributions: First, to enhance Boolean learning, we propose a new class of logic implications called extended forward implications. Using a nove...
Manan Syal, Rajat Arora, Michael S. Hsiao
SADFE
2009
IEEE
14 years 3 months ago
File Fragment Classification-The Case for Specialized Approaches
Increasingly advances in file carving, memory analysis and network forensics requires the ability to identify the underlying type of a file given only a file fragment. Work to dat...
Vassil Roussev, Simson L. Garfinkel