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ECCV
2010
Springer
15 years 10 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
157
Voted
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
LWA
2004
15 years 6 months ago
Learning Prototype Ontologies by Hierachical Latent Semantic Analysis
An ontology is a speci...cation of a conceptualization, a shared understanding of some domain of interest. The paper develops an algorithm that hierarchically groups words together...
Gerhard Paaß, Jörg Kindermann, Edda Leo...
ECIS
2000
15 years 6 months ago
Trust in Electronic Learning and Teaching Relationships: The Case of WINFO-Line
Electronic relationships in the context of electronic commerce and especially in the context of electronic learning and teaching are on the rise. However, besides the well known te...
Harald F. O. von Kortzfleisch, Udo Winand
ICML
2003
IEEE
16 years 5 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu