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COLT
2008
Springer
15 years 3 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
TKDE
1998
134views more  TKDE 1998»
15 years 1 months ago
Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
John D. N. Dionisio, Alfonso F. Cardenas
ICPR
2002
IEEE
16 years 3 months ago
A Two Level Classifier Process for Audio Segmentation
We are dealing in this paper with audio segmentation. We propose a two level segmentation process that enables the audio tracks to be sampled in short sequences which are classifi...
Benjamin Maillard, Nicole Vincent, Sébastie...
LICS
2012
IEEE
13 years 4 months ago
The Ordinal-Recursive Complexity of Timed-arc Petri Nets, Data Nets, and Other Enriched Nets
—We show how to reliably compute fast-growing functions with timed-arc Petri nets and data nets. This construction provides ordinal-recursive lower bounds on the complexity of th...
Serge Haddad, Sylvain Schmitz, Philippe Schnoebele...
SIGMOD
2000
ACM
164views Database» more  SIGMOD 2000»
15 years 6 months ago
A Data Model and Data Structures for Moving Objects Databases
We consider spatio-temporal databases supporting spatial objects with continuously changing position and extent, termed moving objects databases. We formally define a data model f...
Luca Forlizzi, Ralf Hartmut Güting, Enrico Na...