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MACE
2009
Springer
230views Communications» more  MACE 2009»
15 years 4 months ago
Combining Learned and Highly-Reactive Management
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
Alva L. Couch, Marc Chiarini
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 1 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang
LREC
2010
169views Education» more  LREC 2010»
14 years 11 months ago
Identification of the Question Focus: Combining Syntactic Analysis and Ontology-based Lookup through the User Interaction
Most question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up synt...
Danica Damljanovic, Milan Agatonovic, Hamish Cunni...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
15 years 4 months ago
Informed visual search: Combining attention and object recognition
Abstract— This paper studies the sequential object recognition problem faced by a mobile robot searching for specific objects within a cluttered environment. In contrast to curr...
Per-Erik Forssén, David Meger, Kevin Lai, S...