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» Predictive Hebbian Learning
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125
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MICRO
1999
IEEE
123views Hardware» more  MICRO 1999»
15 years 7 months ago
Improving Branch Predictors by Correlating on Data Values
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Timothy H. Heil, Zak Smith, James E. Smith
130
Voted
ACSC
2004
IEEE
15 years 7 months ago
Lossless Image Compression Using Pixel Reordering
Lossless image compression techniques typically consider images to be a sequence of pixels in row major order. The processing of each pixel consists of two separate operations. Th...
Michael Ciavarella, Alistair Moffat
130
Voted
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 7 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
132
Voted
AAAI
2007
15 years 5 months ago
A Randomized String Kernel and Its Application to RNA Interference
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
145
Voted
CVPR
2008
IEEE
15 years 5 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia