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EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 1 days 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...
ECCV
2002
Springer
14 years 9 months ago
Eye Gaze Correction with Stereovision for Video-Teleconferencing
Abstract. The lack of eye contact in desktop video teleconferencing substantially reduces the effectiveness of video contents. While expensive and bulky hardware is available on th...
Ruigang Yang, Zhengyou Zhang
SIGCOMM
2009
ACM
14 years 2 months ago
GrassRoots: socially-driven web sites for the masses
Large, socially-driven Web 2.0 sites such as Facebook and Youtube have seen significant growth in popularity [5, 10]. However, strong demand also exists for socially-driven web s...
Frank Uyeda, Diwaker Gupta, Amin Vahdat, George Va...
FSS
2010
147views more  FSS 2010»
13 years 6 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
GLOBECOM
2010
IEEE
13 years 5 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...