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CVPR
2010
IEEE
16 years 2 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
SIBGRAPI
2009
IEEE
16 years 1 months ago
Learning Discriminative Appearance-Based Models Using Partial Least Squares
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...
William Robson Schwartz, Larry S. Davis
ICIDS
2009
Springer
16 years 29 days ago
Digital Storytelling as a Whole-Class Learning Activity: Lessons from a Three-Years Project
This paper introduces PoliCultura, a project created by Politecnico di Milano for the Italian schools, which has just completed three years of deployment. Participating classes (wi...
Nicoletta Di Blas, Franca Garzotto, Paolo Paolini,...
AP2PC
2003
Springer
15 years 11 months ago
Group Formation Among Peer-to-Peer Agents: Learning Group Characteristics
This paper examines the decentralized formation of groups within a peer-to-peer multi-agent system. More specifically, it frames group formation as a clustering problem, and exami...
Elth Ogston, Benno J. Overeinder, Maarten van Stee...
NIPS
2007
15 years 7 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...