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ESTIMEDIA
2004
Springer
16 years 2 days ago
Data assignment and access scheduling exploration for multi-layer memory architectures
Abstract— This paper presents an exploration framework which performs data assignment and access scheduling exploration for applications given a multilayer memory architecture. O...
Radoslaw Szymanek, Francky Catthoor, Krzysztof Kuc...
AGENTS
2001
Springer
15 years 11 months ago
Principles of intention reconsideration
We present a framework that enables a belief-desire-intention (BDI) agent to dynamically choose its intention reconsideration policy in order to perform optimally in accordance wi...
Martijn C. Schut, Michael Wooldridge
TIP
2008
185views more  TIP 2008»
15 years 6 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
BMVC
2010
15 years 4 months ago
StyP-Boost: A Bilinear Boosting Algorithm for Learning Style-Parameterized Classifiers
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
Jonathan Warrell, Philip H. S. Torr, Simon Prince
CVPR
2011
IEEE
15 years 2 months ago
A Closed Form Solution to Robust Subspace Estimation and Clustering
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
Paolo Favaro, René, Vidal, Avinash Ravichandran