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» Objective Functions for Feature Discrimination
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ICPR
2006
IEEE
15 years 1 days ago
Discriminative Descriptor-Based Observation Model for Visual Tracking
Varying illumination and partial occlusion are two main difficulties in visual tracking. Existing methods based on appearance information cannot solve these problems effectively s...
Chu-Song Chen, Wen-Yan Chang, Yi-Ping Hung
BMVC
2001
14 years 1 months ago
Recognising Trajectories of Facial Identities Using Kernel Discriminant Analysis
We present a comprehensive approach to address three challenging problems in face recognition: modelling faces across multi-views, extracting the non-linear discriminating feature...
Yongmin Li, Shaogang Gong, Heather M. Liddell
CVPR
2007
IEEE
15 years 29 days ago
Statistical Shape Analysis of Multi-Object Complexes
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetri...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....
ICASSP
2008
IEEE
14 years 5 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
NIPS
2004
14 years 10 days ago
Outlier Detection with One-class Kernel Fisher Discriminants
The problem of detecting "atypical objects" or "outliers" is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this...
Volker Roth