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AAAI
1997
13 years 11 months ago
Machine Learning for Intelligent Systems
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
Pat Langley
ICCV
2001
IEEE
14 years 12 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
SPW
2004
Springer
14 years 3 months ago
Limits to Anonymity When Using Credentials
This paper identifies certain privacy threats that apply to anonymous credential systems. The focus is on timing attacks that apply even if the system is cryptographically secure....
Andreas Pashalidis, Chris J. Mitchell
IPPS
1998
IEEE
14 years 2 months ago
Random Sampling Techniques in Parallel Computation
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
Rajeev Raman
ISCAS
2003
IEEE
123views Hardware» more  ISCAS 2003»
14 years 3 months ago
Classification of power system faults using wavelet transforms and probabilistic neural networks
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for d...
Harish K. Kashyap, U. Jayachandra Shenoy