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» Training Invariant Support Vector Machines
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NIPS
2001
14 years 11 months ago
Online Learning with Kernels
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
Jyrki Kivinen, Alex J. Smola, Robert C. Williamson
ICIP
2008
IEEE
15 years 11 months ago
Emotional valence categorization using holistic image features
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training d...
Victoria Yanulevskaya, Jan van Gemert, Katharina R...
DAGM
2009
Springer
15 years 4 months ago
Pedestrian Detection by Probabilistic Component Assembly
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
ICASSP
2011
IEEE
14 years 1 months ago
A nativeness classifier for TED Talks
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
Jose Lopes, Isabel Trancoso, Alberto Abad
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Event detection based on generic characteristics of field-sports
In this paper we propose a generic framework for event detection in broadcast video of multiple different field-sports. Features indicating significant events are selected, and ro...
David A. Sadlier, Noel E. O'Connor