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» The problem with scalability
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ICML
2009
IEEE
16 years 18 days ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
ICPP
2008
IEEE
15 years 6 months ago
Scalable Techniques for Transparent Privatization in Software Transactional Memory
—We address the recently recognized privatization problem in software transactional memory (STM) runtimes, and introduce the notion of partially visible reads (PVRs) to heuristic...
Virendra J. Marathe, Michael F. Spear, Michael L. ...
AHS
2006
IEEE
133views Hardware» more  AHS 2006»
15 years 5 months ago
Gate-level Morphogenetic Evolvable Hardware for Scalability and Adaptation on FPGAs
Traditional approaches to evolvable hardware (EHW), in which the field programmable gate array (FPGA) configuration is directly encoded, have not scaled well with increasing cir...
Justin Lee, Joaquin Sitte
INFOSCALE
2006
ACM
15 years 5 months ago
Scalable hardware accelerator for comparing DNA and protein sequences
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...
ECCV
2010
Springer
15 years 4 months ago
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...