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ICPR
2010
IEEE
15 years 10 months ago
The Detection of Concept Frames Using Clustering Multi-Instance Learning
Abstract—The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Exp...
David Tax, Michel Valstar
VLDB
1991
ACM
132views Database» more  VLDB 1991»
15 years 8 months ago
Fido: A Cache That Learns to Fetch
This paper describesFido, a predictive cache [Palmer 19901that prefetchesby employing an associativememoryto recognizeaccesspatterns within a context over time. Repeatedtraining a...
Mark Palmer, Stanley B. Zdonik
AAAI
2007
15 years 7 months ago
Modeling and Learning Vague Event Durations for Temporal Reasoning
This paper reports on our recent work on modeling and automatically extracting vague, implicit event durations from text (Pan et al., 2006a, 2006b). It is a kind of commonsense kn...
Feng Pan, Rutu Mulkar, Jerry R. Hobbs
162
Voted
AICT
2006
IEEE
130views Communications» more  AICT 2006»
15 years 6 months ago
A Search Theoretical Approach to P2P Networks: Analysis of Learning
One of the main characteristics of the peer-to-peer systems is the highly dynamic nature of the users present in the system. In such a rapidly changing enviroment, end-user guaran...
Nazif Cihan Tas, Bedri Kamil Onur Tas
147
Voted
NIPS
2000
15 years 6 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio