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ICIP
2003
IEEE
16 years 8 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
DATE
2006
IEEE
101views Hardware» more  DATE 2006»
16 years 14 days ago
Design with race-free hardware semantics
Most hardware description languages do not enforce determinacy, meaning that they may yield races. Race conditions pose a problem for the implementation, verification, and validat...
Patrick Schaumont, Sandeep K. Shukla, Ingrid Verba...
IJCNLP
2004
Springer
15 years 11 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer
IUI
2004
ACM
15 years 12 months ago
What would they think?: a computational model of attitudes
A key to improving at any task is frequent feedback from people whose opinions we care about: our family, friends, mentors, and the experts. However, such input is not usually ava...
Hugo Liu, Pattie Maes
ML
1998
ACM
139views Machine Learning» more  ML 1998»
15 years 6 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby