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» The Dark Side of Object Learning: Learning Objects
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COLT
2006
Springer
14 years 21 days ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 8 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
NIPS
2004
13 years 10 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002
CVPR
2000
IEEE
14 years 11 months ago
Agent-Based Moving Object Correspondence Using Differential Discriminative Diagnosis
We propose a novel method for temporally and spatially corresponding moving objects by automatically learning the relevance of the objects' appearance features to the task of...
Mahesh Saptharishi, John B. Hampshire II, Pradeep ...
ICWL
2004
Springer
14 years 2 months ago
An Agent- and Service-Oriented e-Learning Platform
This paper presents an e-Learning Web-reachable hypermedia system as the foundation of a course content development toolset. Course content, developed in XML, is stored in native X...
Ivan Madjarov, Omar Boucelma, Abdelkader Bé...