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IEEEARES
2010
IEEE
14 years 11 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
IJPP
2011
115views more  IJPP 2011»
14 years 26 days ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
CVPR
2011
IEEE
14 years 5 months ago
RUNE-Tag: a High Accuracy Fiducial Marker with Strong Occlusion Resilience
Over the last decades fiducial markers have provided widely adopted tools to add reliable model-based features into an otherwise general scene. Given their central role in many c...
Filippo Bergamasco, Andrea Albarelli, Andrea Torse...
NOCS
2007
IEEE
15 years 3 months ago
Towards Open Network-on-Chip Benchmarks
Measuring and comparing performance, cost, and other features of advanced communication architectures for complex multi core/multiprocessor systems on chip is a significant challe...
Cristian Grecu, André Ivanov, Partha Pratim...
ASPLOS
2006
ACM
15 years 3 months ago
HeapMD: identifying heap-based bugs using anomaly detection
We present the design, implementation, and evaluation of HeapMD, a dynamic analysis tool that finds heap-based bugs using anomaly detection. HeapMD is based upon the observation ...
Trishul M. Chilimbi, Vinod Ganapathy