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198
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ECML
2007
Springer
16 years 1 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
210
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CVPR
2006
IEEE
16 years 1 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
CEC
2005
IEEE
16 years 26 days ago
Investigating the effect of random noise on the evolution of colour terms
Abstract- The effect of adding noise to an expressioninduction model of language evolution was investigated. The model consisted of a number of artificial people who were able to i...
Mike Dowman
AI
2004
Springer
16 years 20 days ago
Intrinsic Representation: Bootstrapping Symbols from Experience
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
Stephen David Larson
ATAL
2004
Springer
16 years 19 days ago
Towards the Application of Argumentation-Based Dialogues for Education
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...
Elizabeth Sklar, Simon Parsons
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