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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 1 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
AI
2007
Springer
14 years 9 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah
BMCBI
2010
176views more  BMCBI 2010»
14 years 9 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
IPSN
2010
Springer
15 years 4 months ago
Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture
Motion capture using wireless inertial measurement units (IMUs) has many advantages over other techniques. Achieving accurate tracking with IMUs presents a processing challenge, e...
A. D. Young, M. J. Ling, D. K. Arvind
PODC
2004
ACM
15 years 3 months ago
Balanced binary trees for ID management and load balance in distributed hash tables
We present a low-cost, decentralized algorithm for ID management in distributed hash tables (DHTs) managed by a dynamic set of hosts. Each host is assigned an ID in the unit inter...
Gurmeet Singh Manku