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» New Algorithms for Statistical Analysis of Interval Data
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CVIU
2008
75views more  CVIU 2008»
15 years 5 months ago
Performance characterization in computer vision: A guide to best practices
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
Neil A. Thacker, Adrian F. Clark, John L. Barron, ...
ICIP
2007
IEEE
16 years 6 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
VR
2009
IEEE
228views Virtual Reality» more  VR 2009»
15 years 11 months ago
Natural Eye Motion Synthesis by Modeling Gaze-Head Coupling
Due to the intrinsic subtlety and dynamics of eye movements, automated generation of natural and engaging eye motion has been a challenging task for decades. In this paper we pres...
Xiaohan Ma, Zhigang Deng
NIPS
2004
15 years 6 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
ICDAR
1999
IEEE
15 years 9 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...