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» Learning to use episodic memory
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ICPR
2000
IEEE
14 years 10 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
ICADL
2003
Springer
140views Education» more  ICADL 2003»
14 years 2 months ago
LVS Digital Library Cluster with Fair Memory Utilization
A digital library system consists of LVS(Linux Virtual Server) operating with software clustering technology provides is designed on Linux environment. In the cluster of servers fa...
MinHwan Ok, Kyeongmo Kang, Myong-Soon Park
ISCA
1999
IEEE
95views Hardware» more  ISCA 1999»
14 years 1 months ago
Memory Sharing Predictor: The Key to a Speculative Coherent DSM
Recent research advocates using general message predictors to learn and predict the coherence activity in distributed shared memory (DSM). By accurately predicting a message and t...
An-Chow Lai, Babak Falsafi
BMCV
2000
Springer
14 years 1 months ago
Unsupervised Learning of Biologically Plausible Object Recognition Strategies
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
Bruce A. Draper, Kyungim Baek
SG
2010
Springer
14 years 1 months ago
Sketch-Based Interfaces: Exploiting Spatio-temporal Context for Automatic Stroke Grouping
In this paper, we investigate how discourse context in the form of short-term memory can be exploited to automatically group consecutive strokes in digital freehand sketching. With...
Lutz Dickmann, Tobias Lensing, Robert Porzel, Rain...