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» Co-Tracking Using Semi-Supervised Support Vector Machines
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113
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ICPR
2008
IEEE
15 years 9 months ago
Weightlessness feature - a novel feature for single tri-axial accelerometer based activity recognition
In this paper, a novel weightlessness feature for activity recognition from a tri-axial acceleration signals have been proposed. Since the orientation between accelerometer and us...
Zhenyu He, Zhibin Liu, Lianwen Jin, Li-Xin Zhen, J...
160
Voted
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 9 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
89
Voted
ICCV
2007
IEEE
15 years 9 months ago
A reliable skin mole localization scheme
Mole pattern changes are important cues in detecting melanoma at an early stage. As a first step to automatically register mole pattern changes from skin images, this paper prese...
Taeg Sang Cho, William T. Freeman, Hensin Tsao
161
Voted
ICIAP
2003
ACM
15 years 7 months ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello
125
Voted
EMNLP
2010
15 years 18 days ago
Automatic Detection and Classification of Social Events
In this paper we introduce the new task of social event extraction from text. We distinguish two broad types of social events depending on whether only one or both parties are awa...
Apoorv Agarwal, Owen Rambow